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13th IEEE International Conference on Signal Processing (ICSP)

作者： Zhu, Yiang Yang, Zhaocheng Huang, Jianjun Shenzhen Univ Coll Informat Engn Shenzhen 518000 Guangdong Peoples R China

ISBN: (纸本)9781509013456

This paper proposes a novel robust sparsity-based space-time adaptive processing (STAP) algorithm considering array gain/phase errors for airborne radar. The proposed algorithm builds the sparse signal model considering the array errors, formulates the sparse problem to jointly estimate clutter spatio-temporal profile and the array gain/phase errors, and then designs the space-time adaptive filter based on the reconstructed spatio-temporal profiles. Simulation results show that the proposed algorithm can greatly eliminate the impacts of the array gain/phase errors and improve the output signal-to-interference-noise ratio (SINR) performance.

关键词： robust sparsity-based space-time adaptive processing array gain/phase errors airborne radar

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Robust Sparsity-Based Space-Time Adaptive Processing Considering array gain/phase errors

Robust Sparsity-Based Space-Time Adaptive Processing Conside...

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2016 IEEE 13th International Conference on Signal Processing（ICSP2016）

作者： Yiang Zhu Zhaocheng Yang Jianjun Huang College of Information Engineering Shenzhen University

This paper proposes a novel robust sparsity-based space-time adaptive processing(STAP) algorithm considering array gain/phase errors for airborne radar. The proposed algorithm builds the sparse signal model considering the array errors, formulates the sparse problem to jointly estimate clutter spatio-temporal profile and the array gain/phase errors, and then designs the space-time adaptive filter based on the reconstructed spatio-temporal profiles. Simulation results show that the proposed algorithm can greatly eliminate the impacts of the array gain/phase errors and improve the output signal-to-interferencenoise ratio(SINR) performance.

关键词： robust sparsity-based space-time adaptive processing array gain/phase errors airborne radar

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Cascaded suppression method based on joint iterative optimization for airborne passive radar

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DIGITAL SIGNAL PROCESSING 2020年 100卷

作者： Deng, Yaqi Wang, Jun Xidian Univ Natl Lab Radar Signal Proc Xian 710071 Peoples R China

To overcome the severe space-time adaptive processing (STAP) performance degradation caused by array gain/phase (GP) errors and undesirable random range sidelobe couplings, a novel cascaded suppression method based on joint iterative optimization is proposed for airborne passive radar. The proposed cascaded method (CM) exploits the sparse nature of these undesirable sidelobe couplings, reformulates the sparsity recovery problem as a joint optimization problem of the spatio-temporal profile and array GP errors, and achieves sidelobe couplings suppression before STAP. A range of simulations is conducted to test the proposed method. (C) 2020 Elsevier Inc. All rights reserved.

关键词： array gain/phase errors Sidelobe couplings Cascaded method Joint optimization problem Airborne passive radar

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