Naval Radar Signal Processing Algorithms for Extended Detection Range

Modern maritime surface combatants face evolving threat environments characterized by low radar-cross-section threats and high clutter, requiring significant gains in sensor sensitivity without prohibitive hardware overhauls. To address these operational constraints, Raytheon, an RTX business, secured a development contract from the Office of Naval Research to engineer advanced signal- and data-processing algorithms that expand detection performance across naval radar architectures.

Operational Challenges in Maritime Radar Detection
Naval surface combatants operating in contested littorals and open-ocean environments encounter complex target sets, including low-observable cruise missiles, unmanned aerial vehicles, and hypersonic profiles. Detecting targets with minute radar cross-sections at tactically viable standoff distances typically presents a steep physical trade-off. Traditionally, increasing radar range and signal sensitivity required expanding prime power delivery, scaling physical aperture dimensions, or installing higher-output solid-state transmitters, all of which strain shipboard size, weight, power, and cooling budgets.

As physical shipboard integration reaches hardware margins, naval sensor engineering increasingly relies on advanced digital signal processing and algorithmic modernization to extract weak target returns from environmental noise, electronic clutter, and interference. 

Algorithm Development and Architecture Integration
Under the research award, the Raytheon Advanced Technology team is tasked with designing, evaluating, and implementing targeted software-level updates aimed at increasing detection sensitivity, extending instrumental range, and improving overall radar efficiency. Rather than replacing physical transmit/receive arrays, the software-driven modernization focuses on optimizing back-end processing pipelines.

The engineering work centers on software-defined apertures, decoupling functional signal-processing routines from underlying analog hardware. This approach relies on advanced data-filtering mathematics, optimized waveform processing, and improved thresholding algorithms to identify low-energy backscatter earlier in the detection chain. By elevating the signal-to-noise ratio algorithmically, combat systems can shorten track-initiation latency and accelerate automated target classification, providing tactical decision-makers with earlier warning buffers.

Validation, Testing, and Facility Scope
The software modifications are scheduled to undergo extensive laboratory simulations and operational field testing to validate signal stability and algorithmic efficiency under realistic maritime conditions. Following verification, the software capabilities are slated for transition into the active SPY-6 family of active electronically scanned array radars and prospective surface fleet sensor programs.

Colin Whelan, president of Advanced Technology at Raytheon, indicated that modernizing fielded radar systems through software-first upgrades represents a cost-effective mechanism to deliver mission capability, allowing operators to identify smaller radar returns at increased ranges and classify tracks faster to accelerate defensive response timelines.

Development activities under the contract will proceed across Raytheon engineering facilities in Portsmouth, Rhode Island, and Andover, Massachusetts, running through 2031.

Additional Context:
This section details technical specifications and competitive benchmarking not included in the original product announcement.

The technological trajectory behind this research reflects a naval migration away from bespoke, tightly coupled analog radar cabinets toward open-architecture software-defined apertures governed by modular open systems approaches. Foundational research for this initiative traces to earlier Office of Naval Research programs, including the Advanced Software-Configurable Programmable Integrated RF Engine (ASPIRE) and Scalable Technologies for Operational Resilient Modular sensors (STORM). These earlier efforts demonstrated that digital beamforming and software-programmable signal processors could execute multi-function radar, communications, and electronic warfare tasks on common array real estate.

In contemporary operational benchmarks, the AN/SPY-6(V) family uses modular Radar Modular Assemblies—2-foot by 2-foot by 2-foot Gallium Nitride based building blocks—deployed across Flight III Arleigh Burke destroyers (SPY-6(V)1), aircraft carriers and amphibious assault ships (SPY-6(V)2 and SPY-6(V)3), and Flight IIA destroyers (SPY-6(V)4). Similar software-driven radar evolution occurs across competing naval platforms, such as Lockheed Martin's SPY-7 solid-state radar, which uses Canadian and Japanese ground and maritime implementations, and Thales's Sea Fire radar suite. While hardware baseline architectures like GaN semiconductors determine raw power and bandwidth thresholds, software signal-processing algorithms increasingly govern operational parity against low-observable targets by isolating micro-Doppler signatures and mitigating multipath sea clutter without requiring drydock structural retrofits.

Edited by Natania Lyngdoh, Induportals editor, with AI assistance.

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