SBIR/STTR Research Award

Enhanced Aircraft Non-Cooperative Target Recognition

Award identifier 66511082143eec4b9d18901b2d743930f92a4761af7cf2be3d1875c8437d11e9Awarding agency Department of Defense · Navy

Award amount

$139,988

Program and phase

SBIR · Phase I

Award year

2023

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Award details

Awarding agency
Department of Defense
Branch
Navy
Recipient company
Electro Magnetic Applications, Inc.
Proposal award date
2023-06-29
Contract end date
2024-01-02
UEI
F3H8XS2L3D27
Solicitation number
23.1
Topic code
N231-021

Research abstract

Traditionally, airborne maritime surveillance and air-to-air radar systems have not exploited multiple polarization data. This is mainly due to the fact that most were previously only capable of supporting a single polarization. However, an increasing number of new generation radar systems are fully polarimetric. With the ability to measure and simulate fully polarimetric radar signature data, new opportunities exist to improve non-cooperative target recognition (NCTR) capabilities. These include enhancing traditional techniques such as high range resolution (HRR), inverse synthetic aperture radar (ISAR), micro-Doppler, and jet engine modulation (JEM).  The Navy wishes to apply these capabilities to characterize or classify electrically large, nonstable targets such as the Boeing 737-800 commercial airliner and the Chinese Xian H-6 bomber. In this example, both aircraft have similar dimensions, with the Boeing 737-800 having a wingspan of 113’ and length of 130’ while the Xian H-6 bomber has a wingspan of 108’ and length of 114’. However, each aircraft has distinct features. In particular, the H-6 has armament rails that could have missiles/bombs or fuel tanks attached to them. The engines on the H-6 are also closer to the fuselage than the 737-800. So, one would expect to see distinct radar signatures for the two aircraft.  Electro Magnetic Applications, Inc. (EMA) and Spann Consulting Services (SCS) propose an extensive simulation effort for the Phase I effort. This effort would include generation of fully polarimetric synthetic radar signature data for targets of interest to NAVAIR, including the Boeing 737-800 and the Xian H-6 bomber. Signature data will be generated over frequency bands of interest to NAVAIR, including UHF through X-band using the shooting and bouncing rays (SBR+) technique given its extensive validation history and advanced physics models for radar signature prediction of electrically large targets. The simulations will also consider CAD model fidelity to quantify the level of detail required in the CAD models for accurate predictions. Further, studies will be will performed to understand differences in signature data for slightly different versions of the aircraft. For example, the 737-800 and the 737-800 Max have slightly different dimensions and features and the Xian H-6 has different weapons configurations. Simulations may also be performed with full wave solvers for rotating/moving parts to address effects such as JEM since asymptotic techniques are typically not used for engine inlets and cavities. EMA and SCS will study the synthetic data to identify opportunities for improving NCTR techniques through distinct trends and behavior in fully polarimetric data over multiple radar frequency bands and over many aspect angles. The ideas that show the most promise for improving NCTR techniques will be implemented during the Phase II.

Technology keywords

Not reported

Other awards by this recipient

Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.

Awards with the same topic code

Verified by an exact topic code match. This is not a text-similarity match.

Research funding history

28 SBIR/STTR records share this UEI (2018–2025). Reported award amounts total $15,144,860. Reported amounts are not federal obligations.

Phases: Phase I, Phase II

Agencies: Department of Defense, National Aeronautics and Space Administration, National Science Foundation

Agency intelligence

Department of Defense

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