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PIER PIER B PIER C PIER M PIER Letters PIER Photonics
2018-08-27
A Novel Non-Homogeneous STAP Algorithm for Target-Like Signal Elimination Based on Sparse Reconstruction
By
Qi Zhang,

    Dr. Qi Zhang

    College of Computer & Information Engineering

    Hohai University

    China

    Homepage

Mingwei Shen,

    Prof. Mingwei Shen

    College of Computer & Information Engineering

    Hohai University

    China

    Homepage

Jianfeng Li,

    Dr. Jianfeng Li

    College of Computer & Information Engineering

    Hohai University

    China

    Homepage

Di Wu,

    Dr. Di Wu

    College of Electronic & Information Engineering

    NUAA

    China

    Homepage

Dai-Yin Zhu

    Dr. Dai-Yin Zhu

    Department of Electronic Engineering

    Nanjing University of Aeronautics & Astronautics

    China

    Homepage

Progress In Electromagnetics Research M, Vol. 72, 153-163, 2018
doi:10.2528/PIERM18051006 | Google Scholar

Abstract
Space-time adaptive processing (STAP) for airborne radar employs training samples to estimate clutter covariance matrix (CCM). However, the target-like signals contained in the training samples severely corrupt the accuracy of the CCM. This paper proposes a novel non-homogeneous STAP algorithm for target-like signal elimination based on reduced-dimension sparse reconstruction (RDSR) to overcome this issue. The proposed algorithm exploits the high-resolution angle-Doppler spectrum obtained by RDSR to estimate and eliminate target-like signals. Theoretical analysis and simulation results show that the proposed algorithm effectively suppresses clutter and improves the performance of STAP in non-homogeneous environments.
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Citation
Qi Zhang, Mingwei Shen, Jianfeng Li, Di Wu, and Dai-Yin Zhu, "A Novel Non-Homogeneous STAP Algorithm for Target-Like Signal Elimination Based on Sparse Reconstruction," Progress In Electromagnetics Research M, Vol. 72, 153-163, 2018.
doi:10.2528/PIERM18051006
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