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ZHU Hangui, CHEN Wei, YI Jianxin, et al. Range-ambiguous clutter separation and suppression method for airborne bistatic radar based on beam pattern reconstruction[J]. Journal of Radars, in press. doi: 10.12000/JR25198
Citation: ZHU Hangui, CHEN Wei, YI Jianxin, et al. Range-ambiguous clutter separation and suppression method for airborne bistatic radar based on beam pattern reconstruction[J]. Journal of Radars, in press. doi: 10.12000/JR25198
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Range-ambiguous Clutter Separation and Suppression Method for Airborne Bistatic Radar Based on Beam Pattern Reconstruction

DOI: 10.12000/JR25198 CSTR: 32380.14.JR25198
  • 1.

    School of Electronic Information, Wuhan University, Wuhan 430072, China

  • 2.

    Key Laboratory of Radar Equipment Application Engineering, Air Force Early Warning Academy, Wuhan 430019, China

Funds:  The National Natural Science Foundation of China (62401622), Hubei Provincial Natural Science Foundation, China (2024AFB524)
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    Abstract
  • Space-Time Adaptive Processing (STAP) is a key technique used for ground/sea clutter suppression and moving target detection in airborne radar. However, under range ambiguity conditions, the inherent clutter nonstationarity in airborne bistatic radar violates the independent and identically distributed assumption required for training samples, significantly degrading the performance of conventional STAP methods. To address this issue, this study first analyzed the limitations of the Conventional Beamforming (CBF)-based disambiguation approach, which exhibits a trade-off between mainlobe gain loss and sidelobe suppression. A method based on a cascaded blocking matrix and adaptive beamforming is proposed for separating range-ambiguous clutter. Although this method improves upon the CBF-based approach, it introduces noise distortion, which limits further improvements in clutter separation and suppression accuracy. Hence, a novel method based on beam pattern reconstruction is proposed to overcome this drawback. This method formulates an optimization problem incorporating beam-maintenance and sidelobe-control terms to design spatial filter weights, effectively separating range-ambiguous clutter while preserving the mainlobe target gain and suppressing sidelobe clutter. Subsequently, angle-Doppler compensation is applied to the separated clutter, followed by final suppression using a subarray-based STAP method incorporating a joint three-channel Doppler transform. Simulation results revealed that compared with typical methods, the proposed approach more effectively separated clutter, significantly narrowed the mainlobe notch width, and limited the output signal-to-clutter-plus-noise ratio loss to <3 dB, thereby markedly enhancing clutter suppression performance and target detection capability under range ambiguity conditions.

     

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