The Impact of Environmental Conditions on Avionics Systems in Naval Platforms and Advanced Protection Methods

High-tech radar, electro-optical sensor and antenna systems operating as an integrated part of naval platforms (aircraft, surface vessels, submarines and unmanned underwater vehicles); are exposed to extreme environmental stress factors—such as freezing temperatures, extreme cycles of relative humidity and chloride-laden salt mist—which directly threaten their electromagnetic and structural integrity.

Maintaining the highest levels of operational continuity and mission readiness for these systems under such challenging hydrometeorological and chemical conditions is only possible through the synergistic integration of advanced materials science (innovative corrosion-resistant alloys, functional coatings) with intelligent signal processing algorithms. Consequently, the path to optimising performance in naval avionics lies in the simultaneous development of structural durability and adaptive software technologies.

1. Environmental Degradation Mechanisms and Structural Alloy Research

When the atmospheric humidity at sea level exceeds the critical relative humidity threshold that determines the onset of corrosion on metal surfaces, it leads to the accumulation of a microscopic-scale electrolyte liquid film layer on component surfaces. This liquid film layer, rich in chloride ions, triggers the formation of a continuous galvanic cell between the metal surface and the atmosphere and, as a result, electrochemical corrosion reactions. Consequently, the prevention of corrosion-induced structural degradation in marine avionics systems is directly dependent on controlling the formation mechanisms of this microscopic liquid film.

a) Chloride-Induced Selective Corrosion and Dezincification Mechanism

H62 brass (copper-zinc) alloys, which are widely used in radar feedlines and waveguides, are subject to the dezincification (dezincification). In this electrochemical reaction process, the copper phase remaining after the selective dissolution of the zinc in the alloy matrix transforms into a porous, spongy structure with extremely low mechanical strength.

These corrosion products (patina) accumulating on the inner wall surfaces of waveguides have two primary destructive effects on system performance:

- Electromagnetic Deformation: Corrosion layers disrupt the geometric continuity inside the waveguide, leading to localised electric field enhancements.

-Micro-Arc Ignition and Signal Loss: These localised field concentrations trigger dielectric breakdowns, particularly during high-power RF (Radio Frequency) transmission, triggering dielectric breakdowns that result in micro-arc ignitions and, consequently, significant radar signal attenuation and phase losses.

Consequently, microstructural alloy degradation in waveguides not only leads to mechanical failure but also but also directly degrades critical avionics performance parameters such as the platform’s radar cross-section and target detection capability.

b) Galvanic Corrosion and Electrical Risk Analysis at Antenna and Radome Interfaces

Antenna ring assemblies and mechanical fasteners, where metals with different electrochemical potentials are in direct contact, are the areas most highly exposed to the risk of galvanic corrosion due to micro-environmental moisture entrapment. In particular, corrosion processes occurring on the adapter plates of radome mounting rings increase electrical contact resistance at the interfaces in a non-linear manner, causing the system’s structural earthing (bonding) parameters to exceed acceptable tolerance limits.

This situation gives rise to two fundamental and critical risks in the operational environment:

- Catastrophic Lightning Damage: Compromised grounding continuity creates high-impedance points, particularly during the discharge of lightning currents through the platform, leading to irreversible catastrophic damage to avionics equipment and the formation of electrical arcs.

-Latent (Hidden) Degradation and Premature Failure: This electrochemical degradation, which progresses latently beneath sealing compounds and elastomeric fillers, cannot be observed macroscopically on the surface and is therefore generally undetectable until a complete system failure occurs at the component level.

Ultimately, galvanic corrosion at interfaces is not merely a problem of mechanical wear; it is a primary electrical risk factor that directly compromises the platform’s electromagnetic protection (EMI/EMC) integrity and lightning protection subsystems.

c) Next-Generation Material Solutions and Surface Functionalisation Studies

In order to inhibit the electrochemical and mechanical degradation mechanisms caused by the marine environment, Aluminium-Copper (Al-Cu) casting alloys are reinforced with 3 per cent by mass of in-situ titanium diboride ceramic particles, synthesised via a molten potassium salt reaction pathway (in-situ salt-metal reaction) at a temperature of 800C. The corrosion resistance and structural stability of this developed metal-matrix composite have been validated by Linear Polarisation Resistance (LPR) electrochemical analyses and standard salt spray tests. The empirical data obtained demonstrate that the titanium diboride reinforcement refines the grain structure within the matrix, thereby enhancing the continuity of the passivation layer and minimising the alloy’s corrosion kinetics.

In addition to the increase in microstructural strength, the surface architecture of avionics components is functionalised using specialised liquid nylon-epoxy coatings (Nycote 7-11, 88, 99) that prevent the ingress of chloride ions and are free from morphological defects such as pinholes.

Consequently, the simultaneous application of in-situ titanium diboride particle reinforcement on a volumetric basis and pinhole-free hybrid epoxy barrier coatings on a surface basis offers a synergistic and superior protection concept that optimises both macroscopic environmental protection and microscopic electrochemical stability in next-generation maritime avionics systems.

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2. Advanced Antenna and Electro-Optical Coating Technologies

The operational effectiveness of electro-optical targeting systems (EOTS), laser designators, infrared (IR) seeker heads and high-frequency antennas deployed on naval platforms is directly dependent on the optical and electrical transmission rates of their external protective windows. However, the marine environment’s salt mist, dynamic wind loads, sand erosion and high-velocity particle impacts cause microscopic-scale wear, scratching and cavitation on these critical surfaces. These environmental degradation mechanisms lead to signal scattering and significant transmission losses, thereby adversely affecting the systems’ range and stability.

a) Sapphire Crystal Technology and Optical Restoration Processes

In protecting electro-optical windows against these demanding erosion mechanisms, single-crystal sapphire—which has a hardness of 9 on the Mohs scale—stands out. Sapphire offers high chemical inertness, superior thermal shock resistance and high transmittance across a broad spectral band ranging from ultraviolet (UV) to mid-wave infrared (MWIR), and thus serves as a critical protective barrier in marine environments.

Sapphire windows, whose optical performance deteriorates over time due to the accumulation of sea salt and micro-erosion, are subjected to innovative restoration processes. In this context, the ultra-low-roughness chemical-mechanical polishing (CMP) processes applied (surface roughness).

b) Anti-reflective (AR) Coatings and Multi-layer Dielectric Designs

Reflection losses at the interfaces of optical components in contact with air can reach high levels—such as 4 per cent in glass, 14 per cent in zinc sulphide and 36 per cent in germanium—depending on the type of material. To minimise this impedance mismatch, quarter-wavelength anti-reflective (AR) coatings are used.

To achieve maximum transmittance across a broad wavelength band (broadband AR), complex graded-index dielectric coating designs—comprising up to 16 layers and obtained by sequentially vapour-depositing materials with different refractive indices, such as zinc selenide and thorium fluoride—are employed.

To prevent the penetration of high humidity and salt water in marine environments, the following advanced manufacturing and protection technologies are utilised in the coating architecture:

- Ion Beam Sputtering (IBS): Microstructural sealing is achieved by depositing pore-free (pinhole-free), amorphous and extremely dense oxide layers on the surface via high-energy ion bombardment.

-Hydrophobic Fluorinated Topcoat: These ultra-thin film coatings, integrated into the outermost layer, reduce surface energy to prevent water droplets and salt crystals from adhering to the surface, thereby maintaining the optical clarity of the electro-optical system even under harsh hydrometeorological conditions.

Consequently, degradation in marine avionics and sensor windows caused by environmental factors is mitigated not only through material selection but also through nano-engineered multi-layer coatings and precision restoration technologies. The combination of sapphire crystal’s mechanical strength with Ion Beam Sputtering (IBS)-based gradient-index coatings represents the most critical technological component in maintaining signal integrity and ensuring the uninterrupted operation of platforms’ situational awareness capabilities in harsh maritime environments.

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3. Signal Transmission Modelling of Wet Radomes

Structural enclosures that protect radar antennas from aerodynamic loads, wind and the aggressive physical effects of the marine environment are known as radomes (radar domes). Water films, static water droplets and vertical flow channels (rivelets) accumulating on the surface of radomes operating on naval platforms due to hydrometeorological effects disrupt the propagation characteristics of high-frequency electromagnetic waves, leading to significant performance losses in radar systems and a reduction in target detection capability (blind spots).

3.1. Electromagnetic Attenuation and Signal Degradation Mechanisms

When a radar radome is exposed to heavy rain, the power loss suffered by the radar signal increases as the amount of water accumulating on its surface rises. However, this loss does not progress linearly. In other words, when rainfall doubles, the signal loss does not double; the extent of the loss rises more slowly but relentlessly in comparison to the rate of increase in rainfall. This situation gives rise to a general rule that allows us to estimate how much the signal will weaken on the surface of a standard radome that is completely saturated with water.

The Solution: Superhydrophobic Coatings

Under normal conditions, water adheres to the radome surface, forming a continuous, sheet-like ‘water film’ or vertical water channels. It is this extensive layer of water that is the main cause of signal attenuation.

Superhydrophobic (extremely water-repellent) nano-coatings, however, prevent water from adhering to the radome by altering the surface chemistry. Water droplets cannot spread out on this surface; instead, they remain spherical (ball-like) shape. As the contact angle with the surface reaches its maximum, the droplets cannot adhere to the surface and roll off rapidly.

Thanks to this water-repellent technology, the formation of a wide ‘wall of water’ in front of the radar signal is prevented. For example, tests carried out on medium-frequency (C-band) radars show that this coating significantly reduces signal loss (achieving an improvement of up to 3.3 dB).

On the decibel (dB) scale, such a difference represents a massive gain in terms of preserving the signal power emitted and received by the radar. Thanks to this dynamic structure, which does not allow water to remain on the surface, the radar continues to clearly detect surrounding targets without being blinded, even in the heaviest storms, and ensures the platform’s situational awareness remains uninterrupted.

In summary, signal attenuation caused by wetting in marine radomes is not merely a linear transmission loss, but a complex dielectric problem that directly distorts the antenna’s radiation pattern. This electromagnetic damping on the radome surface, predicted by empirical models, is compensated for at a structural level thanks to superhydrophobic nano-coating technologies; thus, the platform’s target detection and tracking reliability in challenging maritime weather conditions is ensured.

4. Sea Clutter Suppression and Artificial Intelligence Integration

When radar systems deployed on air and maritime platforms scan the sea surface, they are subjected to high-amplitude, stochastic (random) background noise. These parasitic returns dramatically reduce the probability of detection and tracking ($P_d$) of small maritime targets with low radar cross-section (RCS) concealed amongst wave crests, periscopes, or cruise missiles flying on a sea-skimming trajectory very close to the sea surface.

4.1. Deep Learning-Based Signal Processing Approaches

Traditional signal processing algorithms, such as Spatio-Temporal Adaptive Processing (STAP) and the Three-Dimensional Fast Fourier Transform (3D-FFT), are often inadequate in the face of the spatial and temporal non-stationarity of marine clutter. At this limit, where classical statistical models fail, deep learning approaches prove more effective. -stationarity) of marine turbulence. At this limit, where classical statistical models fail, deep learning architectures capable of modelling the chaotic structure of turbulence using non-linear layers come into play.

The Multi-Head Auto-Recurrent Diffusion Network (MHA-DNet), developed for this purpose, has succeeded in overcoming the performance limits of classical algorithms by learning the complex dynamics of turbulence through a generative (generative) process, thereby succeeding in surpassing the performance limits of classical algorithms. Simulation results carried out on the IPIX Radar dataset, which is regarded as the industry standard, show that demonstrate that the MHA-DNet model achieves a 1.1 per cent higher performance in clutter suppression and target discrimination on the Structural Similarity (P-S) metric compared to traditional convolutional neural networks (CNNs), and a 4 per cent higher performance compared to Generative Adversarial Network (GAN)-based architectures.

4.2. Competitive Hardware Technologies and Generational Platform Integrations

For these advanced AI-based algorithms to operate in real time, they require high computational power and an advanced RF hardware infrastructure. Accordingly, these software-based compensation capabilities are being integrated into the hardware architectures of fifth-generation Active Electronically Scanned Array (AESA) radars.

The most concrete examples of this can be observed in military aviation and avionics modernisation projects:

- F-35 Yıldırım II: As part of the Block 4 modernisation phase, the existing Gallium Arsenide (GaAs)-based AN/APG-81 radar is being replaced by the new-generation AN/APG-85 system, which features Gallium Nitride (GaN) T/R (Transmit/Receive) modules.

-F/A-18E/F Super Hornet: These platforms in the Navy’s inventory are similarly being modernised with APG-79(V)4 radars supported by GaN semiconductor technology.

Compared to GaAs architectures, GaN technology offers significantly higher power density, an extended dynamic range and superior bandwidth. The high raw power and signal quality provided enable the system to physically penetrate the noise curtain over the sea surface, thereby optimising the data feed for artificial intelligence algorithms such as MHA-DNet operating in the background and maximising the system’s clutter suppression effectiveness.

To summarise; maritime clutter—one of the most critical challenges of the modern naval battlefield—has now reached a scale that cannot be resolved by traditional filtering methods alone. In response to this problem, the symbiotic integration of deep learning models with high adaptability—such as MHA-DNet—in the software domain, and Gallium Nitride (GaN)-based AESA architectures, now offers the most robust compensation technology. This two-tiered technological leap is redefining the boundaries of situational awareness in maritime avionics by minimising platform reaction times against low-flying asymmetric threats.

5. Atmospheric Channeling and Refractive Error Compensation

In the tropospheric layers specific to the maritime environment, sudden changes in the vertical partial pressure of water vapour and temperature inversions give rise to non-standard, anomalous refractive gradients. As a result of this atmospheric anomaly, radio frequency (RF) waves emitted by radar and communication systems become trapped in atmospheric ducts (atmospheric ducting). This ducting effect causes electromagnetic waves to propagate far beyond their normal geometric range (sometimes several times the normal range) by following the ground horizon.

5.1. The Problem of Refractive Deformation and Geometric Deviation

Although the atmospheric ducting phenomenon significantly increases the detection range of coastal or stabilised maritime surveillance radars (thanks to extreme over-the-horizon propagation), it constitutes a serious source of geometric error in terms of situational awareness. Radar beams, which bend away from their straight path due to vertical gradients in the refractive index, result in the incorrect calculation of the true spatial coordinates of reflecting targets. This refractive bending leads to unacceptable kinematic errors in range and elevation data—which are of critical importance, particularly in tactical data optimisation and fire control processes—thereby undermining the stability of target tracking.

5.2. Digital Ray Tracing and Meteorological Model-Based Compensation

To correct these geometric deviations in real time, advanced mathematical compensation algorithms are run on modern computerised avionics mission processors. The process of spatial correction in the radar operates as follows:

Digital Ray Tracing: To model the effect of atmospheric conditions on radar signals, data on the Earth’s effective radius factor (k-factor) and modified refractive index (M-profile) are utilised. The non-linear differential ray-tracing equations generated from these inputs are solved using a high-precision fourth-order Runge-Kutta numerical integration method. This process enables the instantaneous and error-free mapping of radar beam paths through complex atmospheric layers.

-Integration of Prediction Models: Data fed from real-time sensors (sea surface temperature, air temperature, relative humidity and wind speed) is processed using industry-standard asymmetric evaporation duct models such as NPS (Naval Postgraduate School) and MGB (Musson-Gathman-Bissonnette).

-Kinematical Correction: These dynamic models are capable of determining the evaporation duct height (EDH) at the sea surface with a maximum error margin of 2 metres. The calculated instantaneous duct height and refractive gradient data are automatically transferred to the radar’s signal and data processing units as kinematic correction matrices. In this way, positional shifts caused by bent rays are compensated for via inverse matrix operations, enabling the target’s true coordinates to be reconstructed with high accuracy.

In summary, atmospheric channeling caused by tropospheric inversion layers is a double-edged sword from a tactical perspective in maritime aviation. The operational advantage gained from increased range is overshadowed by the refractive deviations it causes in target coordinates. However, the integration of real-time micrometeorological prediction models with 4th-order Runge -Kutta-based numerical ray-tracing algorithms can fully compensate for this distortion mechanism at the software layer. This advanced computational architecture ensures millimetre-level positional accuracy in the engagement and guided munition delivery capabilities of platforms operating in the challenging sea-air interface.

6-DOF Motion Compensation and Sensor Fusion

Naval platforms are constantly subjected to six-degree-of-freedom (6-DOF) linear and angular oscillations (pitch, roll, yaw) due to the effects of hydrodynamic and aerodynamic forces (waves and wind). These dynamic motions cause geometric projection errors (bias) and cross-talk between components in measurements by continuously rotating the coordinate system of the sensors on the platform. Consequently, the precise compensation of these kinematic effects is of critical importance for the stable operation of maritime avionics and radar systems.

Effects of Dynamic Movements on Measurement Accuracy

In scenarios where platform oscillations are not compensated for, the data accuracy of the systems deteriorates significantly. For example, an instantaneous 15-degree pitch (pitch) results in a permanent systematic error (deterministic bias) of 3.4 per cent in horizontal axis measurements, in accordance with the Taylor series expansion. This resulting deviation renders micro-meteorological measurements and turbulence calculations completely invalid, thereby compromising tactical situational awareness.

Extended Kalman Filter (EKF)-Based Sensor Fusion

In order to mitigate these geometric and dynamic errors, data from Fibre Optic Gyroscopes (FOG) or Motion Reference Units (MRU) with high data refresh rates, together with data from Global Navigation Satellite Systems (GNSS) receivers, are fused under an Extended Kalman Filter (EKF) architecture (Sensor Fusion). This GNSS-INS (Global Navigation Satellite System – Inertial Navigation System) integration cyclically calibrates the drift errors that accumulate over time due to the nature of inertial sensors, hundreds of times per second.

The practical applications and operational benefits of this integration are as follows:

- Reliability in Critical Operations: In high-risk operations, such as the transfer of logistical cargo (RAS) between two ships at sea, visual Time-of-Flight (ToF) camera data and MRU data are fused within an EKF-based state estimator. This enables relative course deviation angles between platforms to be corrected in real time with millisecond-level precision.

-Continuity During Signal Interruptions (Fault Tolerance): Even during phases where ToF sensors experience optical interruptions due to sea spray, foam or fog—as a result of the challenging conditions of the marine environment—the EKF algorithm takes over. The algorithm operates using only inertial data (by updating the covariance matrices) with minimal deviation, thereby maintaining navigation integrity without interruption.

6-DOF motion compensation and EKF-based sensor fusion technologies are a fundamental element that directly determines mission success rates by maintaining the highest levels of navigation and operational safety on maritime platforms where environmental degradation mechanisms are most intense.

Technologies Preserving the Performance of Maritime Avionics and Sensor Systems and Performance Summary

System / Application Area Integrated Technologies Environmental / Operational Threat Key Operational Advantage Provided

Radar Waveguides (Waveguides) Titanium Diboride) Alloy Reinforcement & Electrochemical Hermetic Sealing Chloride-induced corrosion, dezincification and arc formation Prevention of micro-discharges; maintenance of RF (Radio Frequency) signal stability and power transmission continuity.

Electro-Optical (EO) Windows Sapphire (Substrate & 16-Layer Graded-Index AR Coating) Sand/Rain Erosion, Sea Salt Crystallisation and Optical Reflections Minimum reflection loss across a broad spectral band; high wear resistance and maximum electro-optical detection range.

Advanced Radome (Radome) Systems Superhydrophobic Nano-Coating Technologies Wet Radome Effect, Signal Attenuation and Polarisation Deformation Prevention of water film formation on the surface; minimisation of dielectric transmission losses thanks to its hydrophobic nature.

5th Generation AESA Radars GaN (Gallium Nitride) Semiconductor Architecture & MHA-DNet AI-Based Signal Processing Model Dense ‘Sea Clutter’ and Targets with Low Radar Cross-Section (RCS) Adaptive filtering of dynamic background noise ; high-accuracy detection and tracking of low-visibility targets.

Autonomous Maritime Platforms Tightly Coupled GNSS-INS, MRU and EKF (Extended Kalman Filter)-Based State Estimators 6-DOF Kinematic Platform Oscillations, Hydrodynamic Turbulence and Deterministic Sensor Drifts Real-time compensation of geometric projection errors caused by dynamic motion; high-precision mapping and safe autonomous docking/navigation capability.

Ensuring the operational continuity of avionics and sensor systems used on maritime platforms under extreme hydrometeorological and chemical environmental conditions is one of the most critical challenges facing modern defence technologies. Factors such as salt fog, high humidity, kinetic particle erosion and dynamic sea clutter (sea clutter) simultaneously threaten the structural integrity and electromagnetic performance of these systems.

The solution approaches addressed in this study represent a synergistic integration of materials science and advanced signal processing technologies, rather than a single method. In this context;

-Materials and Surface Technologies: Corrosion and optical distortions are minimised at a physical level through the use of titanium diboride-reinforced composite alloys, sapphire crystal windows and nano-engineered multilayer dielectric coatings.

-Signal and Data Processing: Transmission losses caused by wet radomes are eliminated using superhydrophobic radome coatings, whilst sea clutter is adaptively filtered using deep learning architectures such as MHA-DNet and GaN-based AESA radars.

-Kinematics Compensation: The effects of atmospheric channeling and 6-DOF platform vibrations are corrected in real time using digital beam tracking methods and sensor fusion based on the Extended Kalman Filter (EKF).

Conclusion

In conclusion, high mission readiness and situational awareness in maritime avionics systems can only be achieved through the coherent implementation of these multi-layered compensation strategies at both the structural and software levels. These technological approaches will continue to be the most fundamental technological elements determining the survivability and engagement precision of platforms in the challenging maritime theatre of operations.

Important Note: A brief reminder may be helpful for a better understanding of the text.

The concept of compensation in naval aviation and aviation in general carries a completely different meaning from the ‘reactive power balancing’ process in electrical engineering. In aviation, compensation is the process of correcting (calibrating) the magnetic compass to prevent it from indicating an incorrect heading due to the influence of magnetic fields generated by the aircraft’s metal components and electronic devices.

What is Compensation in Aviation?

Steel components, engine parts and electrical devices (radios, displays, electrical systems) on the aircraft generate their own magnetic fields. These inherent magnetic effects cause the compass needle to ‘deviate’. Compensating is a precise adjustment process carried out to minimise these deviations.

“Swinging the Compass” (Compass Swinging) Procedure

This procedure involves rotating the aircraft in different directions around a magnetic reference line (Compass Rose) to identify and correct compass errors. The basic steps are as follows:

1. Preparation: The aircraft is positioned within a special “Compass Rose” area free from metallic interference. The engines and all electronic equipment on the aircraft are operated as in a normal flight configuration.
2. Calibration: The aircraft is first aligned with magnetic North. Using the small adjustment screws on the compass (N-S and E-W screws), the compass is calibrated to point to true North.
3. Correction: The aircraft is turned in turn towards the East, South and West. Half of the deviation errors occurring in each direction are corrected using the adjustment screws on the compass.
4. Deviation Card: Minor deviations that cannot be fully corrected are recorded on a ‘Compass Deviation Card’. Pilots take the correction value on this card into account when checking the compass reading during flight.

Critical Differences in Maritime Aviation

In maritime aviation (such as aircraft carrier operations), this situation is even more critical:

-The Effect of the Ship: When an aircraft is stationed on the deck of an aircraft carrier—a massive steel structure—the ship itself generates a very strong magnetic field. This can cause compass adjustments made whilst the aircraft is on the carrier to differ from those made after the aircraft has departed the ship.

-Modern Systems: Today, many modern naval platforms utilise not only magnetic compasses but also AHRS (Attitude and Heading Reference System) and GPS-aided systems. As these systems operate using electronic sensors and gyroscopic data—unlike magnetic compasses—they largely eliminate the need for ‘magnetic compensation’ or perform this process automatically via software.

In summary; if you come across the term ‘compensation’ in a technical document:

-If it refers to electrical systems: Power factor correction (reactive power balancing).

-If it refers to avionics/navigation systems: Magnetic compass calibration (deviation correction).

Drawing on technical data from foreign sources, I have endeavoured to present this study—entitled “The Effect of Marine Conditions on Avionics Systems and Advanced Protection Methods”, which essentially possesses considerable academic depth—in its simplest form to make it accessible to everyone. Consequently, readers who are experts in the field and seeking technical details at a more granular level may regard this study as an ‘introduction and summary’ . I ask for your indulgence regarding any potential omissions or errors in the process.

Reading my first eight articles, which form the foundations of our Maritime Aviation series, will enable you to understand the technical details and doctrinal background in this article much more effectively. I have provided the links to the relevant publications below for your reference.

Take-off and Landing Configurations on Naval Aviation Platforms: CATOBAR, STOBAR and STOVL

https://strasam.org/savunma/deniz-silah-ve-sistemleri/deniz-havaciligi-platformlarinda-inis-kalkis-konfigurasyonlari-catobar-stobar-ve-stovl-4160

The Evolution of US Navy Jets from an Engine Architecture Perspective

https://strasam.org/savunma/deniz-silah-ve-sistemleri/motor-mimarisi-perspektifinden-abd-donanma-jetlerinin-evrimi-4166

Structural and Technical Evolution of US Navy Aircraft Carrier-Based Aircraft: 1945–1965

https://strasam.org/savunma/deniz-silah-ve-sistemleri/abd-donanmasi-ucak-gemisi-ucaklarinda-yapisal-ve-teknik-evrim-19451965-4168

Structural and Technical Evolution of US Navy Aircraft Carrier Aircraft: 1965 –2025 https://strasam.org/savunma/deniz-silah-ve-sistemleri/abd-donanmasi-ucak-gemisi-ucaklarinda-yapisal-ve-teknik-evrim-19652025-4172

Logistics in Confined Spaces in Naval Aviation and Maintenance Engineering on Aircraft Carriers: The Process of Returning to Operational Service from the F-4 to the F-35

https://strasam.org/savunma/deniz-silah-ve-sistemleri/deniz-havaciliginda-dar-alan-lojistigi-ve-ucak-gemilerinde-bakim-muhendisligi-f-4ten-f-35e-harekata-geri-donus-sureci-4173

Vertical Logistics on Floating Fortresses: The Elevator Systems of Nimitz and Ford-Class Aircraft Carriers

https://strasam.org/savunma/deniz-silah-ve-sistemleri/yuzen-kalelerin-dikey-lojistigi-nimitz-ve-ford-sinifi-ucak-gemilerinin-asansor-sistemleri-4178

The Evolution of Ammunition Transport Logistics on Aircraft Carriers: From the Nimitz to the New-Generation Ford Class

https://strasam.org/savunma/deniz-silah-ve-sistemleri/ucak-gemilerinde-muhimmat-tasima-lojistiginin-evrimi-nimitzden-yeni-nesil-ford-sinifina-4188

Deployment of Autonomous UAVs and UCAVs on Aircraft Carriers: Opportunities and Operational Challenges

https://strasam.org/savunma/deniz-silah-ve-sistemleri/otonom-iha-ve-sihalarin-ucak-gemilerinde-konuslandirilmasi-firsatlar-ve-operasyonel-engeller-4193

References

1. Research on the design of radar feeders for harsh environments, https://nanophotonics. spiedigitallibrary.org/conference-proceedings-of-spie/14132/141320H/Research-on-the-design-of-radar-feeder-against-harsh-environment/10.1117/12.3108499.full
2. Advanced Engineering - radome.at, https://www.radome.at/radome-solutions/advanced-engineering/
3. Perfectly Fit - radome.at, https://www.radome.at/radome-solutions/perfectly-fit/
4. Aircraft Radome Corrosion Protection - Nycote, https://www.nycote.com/blog/aircraft-radome-corrosion-protection
5. salt spray test: Topics by Science.gov, https://www.science.gov/topicpages/s/salt+spray+test
6. High Durability Anti-Reflection (AR) Coated Sapphire Windows - Edmund Optics, https://www.edmundoptics.com/f/high-durability-anti-reflection-ar-coated-sapphire-windows/39787/
7. How do optical coatings improve durability in harsh military environments..., https://www.kupooptics.com/en/blogs/q-a/coating_military
8. Sapphire Optical Windows – Manufacturers & Suppliers - Unmanned Systems Technology, https://www.unmannedsystemstechnology.com/expo/sapphire-windows/
9. How to Validate Liquid Crystal Antennas under salt-fog corrosion - PatSnap Eureka, https://eureka.patsnap.com/report-how-to-validate-liquid-crystal-antennas-under-salt-fog-corrosion
10. RETRACTED: Durable Superhydrophobic Coatings Based on Silica Nanoparticles for 5G Radome | ACS Applied Nano Materials - ACS Publications, https://pubs.acs.org/doi/10.1021/acsanm.3c02682
11. Summit Information Solutions, Inc. - Firm | SBIR, https://www.sbir.gov/portfolio/681424
12. Chapter 6 - SPIE Digital Library, https://www.spiedigitallibrary.org/ebook/Download?urlId=10.1117%2F3.349896.ch6
13. US6767587B1 - Hydrophobic coating compositions, articles coated with said compositions, and processes for manufacturing same - Google Patents, https://patents.google.com/patent/US6767587B1/en
14. Reinforced Superhydrophobic Coating on Silicone Rubber for Long-lasting Anti-Icing Performance in Severe Conditions | ACS Applied Materials & Interfaces, https://pubs.acs.org/doi/abs/10.1021/acsami.7b05549
15. (PDF) Radome attenuation at X-band radar operations - ResearchGate, https://www.researchgate.net/publication/265383456_Radome_attenuation_at_X-band_radar_operations
16. Radome Design and Experimental Characterisation of Scattering and Propagation Properties for Atmospheric Radar Applications, https://ams.confex.com/ams/95Annual/webprogram/Manuscript/Paper259871/AMS%20PAPER.pdf
17. A Drop Size Distribution (DSD)-Based Model for ... - AMS Journals, https://journals.ametsoc.org/downloadpdf/journals/atot/31/11/jtech-d-13-00208_1.pdf
18. Measurements of the Transmission Loss of a Radome at Different ..., https://journals.ametsoc.org/downloadpdf/journals/atot/25/9/2008jtecha1056_1.pdf
19. Sea clutter suppression for radar images based on a multi-head self-attention diffusion model, http://www.cjors.cn/en/article/doi/10.12265/j.cjors.2024121
20. Sea Clutter Suppression Method Based on Correlation Features - MDPI, https://www.mdpi.com/2077-1312/13/5/998
21. Sea Clutter Suppression and Target Detection Algorithm for Marine Radar Image Sequences Based on Spatio-Temporal Domain Joint Filtering - PMC, https://pmc.ncbi.nlm.nih.gov/articles/PMC8870996/
22. (PDF) Sea clutter suppression using a neural network - ResearchGate, https://www.researchgate.net/publication/382538010_Sea_clutter_suppression_using_neural_network
23. Unsupervised-to-Supervised Sea Clutter Suppression via Adversarial Priori and Idempotent Generative Theorem | TechRxiv, https://www.techrxiv.org/doi/10. 36227/techrxiv.170327115.58230813
24. AN/APG-81 Radar Specifications and Features | PDF | Lockheed Martin F-35 Lightning II | Northrop Grumman - Scribd, https://www.scribd.com/document/29267055/ANAPG81
25. Main AESA Radar Solutions on Both Sides of the Atlantic - European Security & Defence, https://euro-sd.com/2023/01/articles/26781/main-aesa-radar-solutions-on-both-sides-of-the-atlantic/
26. accessed 22 May 2026, https://www.researchgate.net/profile/Stephen -Pendergast/publication/280300659_Radar_State_of_the_Art/links/55b02b5308ae32092e06ff10/Radar-State-of-the-Art
27. AN/APG‑81 Radar - Full Specifications | TheDefenseWatch.com, https://thedefensewatch.com/product/an-apg%E2%80%9181-radar/
28. The F-35 Lightning II Will Get A New Radar - The Aviationist, https://theaviationist.com/2023/01/09/the-f-35-will-get-a-new-radar/
29. 7-Blade Antenna Applications in Modern Radar Systems - DOLPH MICROWAVE, https://www.dolphmicrowave.com/default/7-blade-antenna-applications-in-modern-radar-systems/
30. (PDF) Recent Advances in Radar Technology - ResearchGate, https://www.researchgate.net/publication/284920298_Recent_Advances_in_Radar_Technology
31. Active Electronically Scanned Array (AESA) Radars - Northrop Grumman, https://www.northropgrumman.com/what-we-do/mission-solutions/radars/active-electronically-scanned-array-aesa
32. A New Model of the Oceanic Evaporation Duct - AMS Journals, https://journals.ametsoc.org/downloadpdf/journals/apme/36/3/1520-0450_1997_036_0193_anmoto_2.0.co_2.pdf
33. Anomalous propagation conditions of electromagnetic waves observed over Bosten Lake, China, in July and August 2014, https://cpb.iphy.ac.cn/article/2016/1809/cpb_25_2_024101.html
34. Observations of anomalous propagation over waters near Sweden - AMT, https://amt.copernicus.org/articles/16/1789/2023/amt-16-1789-2023.pdf
35. Observations of anomalous propagation over waters near Sweden - ResearchGate, https://www.researchgate.net/publication/369794025_Observations_of_anomalous_propagation_over_waters_near_Sweden
36. A New Model of the Oceanic Evaporation Duct - ResearchGate, https://www.researchgate.net/publication/255032096_A_New_Model_of_the_Oceanic_Evaporation_Duct
37. Influence of obstacles on electromagnetic wave propagation in an evaporation duct with experimental verification, https://cpb.iphy.ac.cn/article/2015/cpb_24_5_054101.html
38. Motion Reference Units: MRU manufacturers for USV, AUV, ROV - Unmanned Systems Technology, https://www.unmannedsystemstechnology.com/expo/motion-reference-units-mru/
39. Motion-Induced Errors in Buoy-Based Wind Measurements ..., https://pmc.ncbi.nlm.nih.gov/articles/PMC12899870/
40. Ship-to-Ship State Observer Using Sensor Fusion and the Extended Kalman Filter, https://asmedigitalcollection.asme.org/offshoremechanics/article/141/4/041603/475514/Ship-to-Ship-State-Observer-Using-Sensor-Fusion
41. Benefits of GNSS-INS Integration for Hydrographic Survey | CHCNA - CHC Navigation, https://navigation. chcnav.com/about/news/2026/what-are-the-benefits-of-gnss-ins-integration
42. Development and Experimental Validation of a Sense-and-Avoid System for a Mini-UAV, https://www.mdpi.com/2504-446X/9/2/96