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    STAP using knowledge-aided covariance estimation and the FRACTA algorithm

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    04014430.63.pdf (4.029Mb)
    Issue Date
    2006-07
    Author
    Blunt, Shannon David
    Rangaswamy, Muralidhar
    Gerlach, Karl
    Publisher
    IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
    Type
    Article
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    Abstract
    In the airborne space-time adaptive processing (STAP) a priori information via knowledge-aided covariance estimation (KACE) is employed in order to reduce the required sample support for application to heterogeneous clutter scenarios. The enhanced FRACTA (FRACTAX) algorithm with KACE as well as Doppler-sensitive adaptive coherence estimation (DS-ACE) is applied to the KASSPER I & II data sets where it is shown via simulation that near-clairvoyant detection performance is maintained with as little as 1/3 of the normally required number of training data samples. The KASSPER I & II data sets are simulated high-fidelity heterogeneous clutter scenarios which possess several groups of dense targets. KACE provides a priori information about the clutter covariance matrix by exploiting approximately known operating parameters about the radar platform such as pulse repetition frequency (PRF), crab angle, and platform velocity. In addition, the DS-ACE detector is presented which provides greater robustness for low sample support by mitigating false alarms from undernulled clutter near the clutter ridge while maintaining sufficient sensitivity away from the clutter ridge to enable effective target detection performance.
    URI
    http://hdl.handle.net/1808/1740
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    • Electrical Engineering and Computer Science Scholarly Works [302]
    Citation
    Blunt, SD; Gerlach, K; Rangaswamy, M. STAP using knowledge-aided covariance estimation and the FRACTA algorithm. IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS. JULY 2006. 42(3): 1043-1057.

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    Contact KU ScholarWorks
    785-864-8983
    KU Libraries
    1425 Jayhawk Blvd
    Lawrence, KS 66045
    785-864-8983

    KU Libraries
    1425 Jayhawk Blvd
    Lawrence, KS 66045
    Image Credits
     

     

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