SBIR/STTR Research Award

AWACS Detection of Helicopter Targets

Award identifier bf5aab0da5724a458a2356431a42c4e632ff52592f66bc36fc0d3ca69b52a72eAwarding agency Department of Defense · Air Force

Award amount

$628,744

Program and phase

SBIR · Phase II

Award year

1997

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Award details

Awarding agency
Department of Defense
Branch
Air Force
Recipient company
SCIENTIFIC SYSTEMS COMPANY, INC.
Proposal award date
Not reported
Contract end date
Not reported
UEI
C12TQVKF5413
Solicitation number
Not reported
Topic code
Not reported

Research abstract

The capability for the AWACS radar to detect both hovering and moving helicopters has become increasingly important since many countries now use helicopters in conducting military operations. Improved situation awareness by AWACS crews of helicopters may aid in avoiding repetition of recent fratricide of US helicopters by F-15's in Iraq. The AWACS radar is optimized for the detection and tracking of high speed aircraft targets in performing its mission of airborne surveillance and command and control. As such the system has not been optimized for detection and tracking of helicopters which fly at lower speeds, hover, and which have unique radar signatures. The use of innovative processing to better extract the helicopter signatures from the background clutter and target environment combined with new waveforms currently under consideration by Wesinghouse can contribute toward an improved radar capability for helicopter detection. the following classes of innovative DSP techniques are proposed for solving the helicopter detection and classification problem. (i) Model-based spectral estimation methods which have been shown to perform much better than FFT in terms of resolution accuracy, reduction of false alarms and the extraction of key target features. (ii) Flexible Template Matching (FTM) algorithms for characterization of discriminating target features using both time domain and frequency domain data over multiple dwells. (iii) Neural networks and Wavelet methods for target feature extraction and classification which have been used successfully on SAR imagery as well as RAR data.Westinghouse Electronic Systems, the developer and manufacturer of AWACS radar, will provide technical and evaluation support during Phases I and II and commercialize the results in Phase III.

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.

Research funding history

464 SBIR/STTR records share this UEI (1983–2025). Reported award amounts total $186,567,405. Reported amounts are not federal obligations.

Phases: Phase I, Phase II, Phase II – Direct to Phase II

Agencies: Department of Defense, National Aeronautics and Space Administration, National Science Foundation, Department of Energy, Department of Health and Human Services, Department of Homeland Security

Agency intelligence

Department of Defense

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