基于迭代自适应方法的非正侧视阵角多普勒补偿方法及改进方法
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摘要
针对非正侧视阵训练样本非均匀导致自适应处理性能下降这一问题,提出了基于迭代自适应方法的角度多普勒补偿法及改进方法。通过迭代自适应方法找到各距离门的主杂波所处的空域和多普勒域的中心位置,之后对待检测单元的训练样本数据进行角度多普勒补偿。由于全空时域的功率谱估计搜索速度慢,搜索精度低,为此提出了局部搜索的快速迭代自适应功率估计算法和网格重构的迭代自适应功率估计算法。通过仿真实验及分析证明了所提方法的有效性,同时随着谱估计方法的改进,该方法的性能也会得到提升。
As for non-sidelooking array,the performance of adaptive processing degrades seriously because of the heterogeneity of training samples.Thus,the angle-Doppler compensation(ADC)method and its improvement methods based on iterative adaptive approach(IAA)are proposed.The proposed method finds the central position of space and Doppler domain where the main clutter in each range gate lies via IAA,then compensates the angle and Doppler for training data in the cell under test.To solve the problem of slow searching speed and low searching accuracy of the power spectrum estimation in the whole space time domain,two kinds of local searching power spectrum estimation methods are proposed:fast iterative adaptive approach(FIAA)and adaptive remeshing based on iterative adaptive approach(ARIAA).Simulation results prove the effectiveness of our proposed methods,and the performance of these methods will be improved with the improvement of spectral estimation approach.
As for non-sidelooking array,the performance of adaptive processing degrades seriously because of the heterogeneity of training samples.Thus,the angle-Doppler compensation(ADC)method and its improvement methods based on iterative adaptive approach(IAA)are proposed.The proposed method finds the central position of space and Doppler domain where the main clutter in each range gate lies via IAA,then compensates the angle and Doppler for training data in the cell under test.To solve the problem of slow searching speed and low searching accuracy of the power spectrum estimation in the whole space time domain,two kinds of local searching power spectrum estimation methods are proposed:fast iterative adaptive approach(FIAA)and adaptive remeshing based on iterative adaptive approach(ARIAA).Simulation results prove the effectiveness of our proposed methods,and the performance of these methods will be improved with the improvement of spectral estimation approach.
引文
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[18]YANG Z C,LI X,WANG H Q,et al.Adaptive clutter suppression based on iterative adaptive approach for airborne radar[J].Signal Processing,2013,93(12):3567-3577.
[2]PAWAN S,MURALIDHAR R.Waveform design for radar stap in signal dependent interference[J].IEEE Trans.on Signal Processing,2016,64(4):49-63.
[3]CAI W,TONG W,JIANXIN W.Short-range ground moving target indication in forward looking airborne radar based on elevation prefiltering[J].IET Radar,Sonar and Navigation,2015,9(9):191-198.
[4]同亚龙,王彤,代保全,等.基于杂波脊先验信息的非均匀杂波抑制方法[J].系统工程与电子技术,2015,37(5):1035-1041.TONG Y L,WANG T,DAI B Q,et al.Heterogeneous clutter suppression method based on knowledge of clutter ridge[J].Systems Engineering and Electronics,2015,37(5):1035-1041.
[5]王娟,王彤,吴建新.非正侧阵机载雷达杂波谱迭代自适应配准方法[J].系统工程与电子技术,2017,39(4):742-747.WANG J,WANG T,WU J X.Registration-based compensation using iterative adaptive approach in non-side-looking airborne radar[J].Systems Engineering and Electronics,2017,39(4):742-747.
[6]KREYENKAMP O,KLEMM R.Doppler compensation in forward-looking STAP radar[J].IEE Proceedings Radar Sonar Navigation,2001,148(5):253-258.
[7]HIMED B,ZHANG Y H,HAJJARI A,et al.STAP with angleDoppler compensation for bistatic airborne radars[C]∥Proc.of the IEEE Radar Conference,2002:311-317.
[8]FALLAH A,BAKHSHI H.Extension of adaptive angle-Doppler compensation(AADC)in STAP to increase homogeneity of data in airborne bistatic radar[C]∥Proc.of the Sixth International Symposium on Telecommunications,2012:367-372.
[9]PARKER P,SWINDLEHURST A.Space-time autoregressive filtering for matched subspace STAP[J].IEEE Trans.on Aero-space and Electronics Systems,2003,39(2):510-520.
[10]RANGASWAMY M.A parametric multichannel detection algorithm for correlated non-Gaussian random processes[C]∥Proc.of the IEEE National Radar Conference.Syracuse,1997:13-15.
[11]WANG P,WANG Z,BRAHAM H,et al.Knowledge-aided parametric adaptive matched filter with automatic combining for covariance estimation[J].IEEE Trans.on Signal Processing,2014,64(3):4713-4722.
[12]LAPIERRE F D,VERLY J G.New solutions to the problem of range dependence in bistatic STAP radars[C]∥Proc.of the IEEE National Radar Conference,2003:452-459.
[13]ROBERTZ W,STOICA P,LI J,et al.Iterative approaches to MIMO radar imaging[J].IEEE Trans.on Signal Processing,2010,4(1):5-20.
[14]LIJUAN Q,WEIDONG Y,MINGJIE Z,et al.Detection and parameter estimation of ground moving targets in multichannel wide-area surveillance system based on iterative adaptive approach[J].IEE Proceedings Radar Sonar Navigation,2016,10(3):1145-1152.
[15]AENAUD B,GUILLAUME G.Robust covariance matrix estimation in heterogeneous low rank context[J].IEEE Trans.on Signal Processing,2016,64(2):5794-5806.
[16]SHAGHAGHI M,ADVE S.Training-based adaptive transmit-receive-beamforming for random phase radar signals[C]∥Proc.of the IEEE Radar Conference,2016:1-5
[17]TAO F Y,WANG T,WU J X,et al.A knowledge aided SPICE space time adaptive processing method for airborne radar with conformal array[J].Signal Processing,2018,52:54-62.
[18]YANG Z C,LI X,WANG H Q,et al.Adaptive clutter suppression based on iterative adaptive approach for airborne radar[J].Signal Processing,2013,93(12):3567-3577.
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