弹载雷达和差通道稳健自适应杂波抑制方法
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摘要
当前弹载雷达普遍采用和差通道体制,在超低空目标检测应用中,由于超低空目标与地海面存在严重的电磁耦合场,形成的镜像虚假目标出现在训练样本中,会造成目标信号相消,严重恶化协方差矩阵估计和动目标检测性能。针对此问题,提出了在目标及其临近空时二维域进行幅相联合多点约束的稳健空时自适应处理(space-time adaptive processing,STAP)方法,实现了STAP二维响应的主瓣保形,克服了目标污染造成的动目标检测性能损失,提高了多普勒估计的精度和稳健性。针对弹载雷达前视阵配置带来的杂波谱扩散问题,则通过最小二乘法进行补偿。仿真实验验证了所提方法的有效性。
Currently,missile-borne radar usually hasΣΔ-beam.Because of the electromagnetic coupling field between super-low-altitude targets and the surface of the ground or the sea,the false image target will be included in the training samples.Thus,the target cancelation will happen and the performance of moving target detection and clutter covariance matrix estimation will degrade dramatically.To deal with this problem,a robust space-time adaptive processing(STAP)method based on the joint magnitude and phase constraints imposed on and around the target is proposed.As a result,the mainlobe of sum beampattern is well maintained,the performance loss due to inter-target contamination can be alleviated,and the Doppler estimation performance is also improved in terms of accuracy and robustness.Moreover,the clutter has range dependence for forward looking missile-borne radars in short range gates,and the method based on least square can be used to deal with this problem.Simulation examples are presented to demonstrate the effectiveness of the proposed method.
Currently,missile-borne radar usually hasΣΔ-beam.Because of the electromagnetic coupling field between super-low-altitude targets and the surface of the ground or the sea,the false image target will be included in the training samples.Thus,the target cancelation will happen and the performance of moving target detection and clutter covariance matrix estimation will degrade dramatically.To deal with this problem,a robust space-time adaptive processing(STAP)method based on the joint magnitude and phase constraints imposed on and around the target is proposed.As a result,the mainlobe of sum beampattern is well maintained,the performance loss due to inter-target contamination can be alleviated,and the Doppler estimation performance is also improved in terms of accuracy and robustness.Moreover,the clutter has range dependence for forward looking missile-borne radars in short range gates,and the method based on least square can be used to deal with this problem.Simulation examples are presented to demonstrate the effectiveness of the proposed method.
引文
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[24]XU J W,LIAO G S,ZHU S Q.Robust LCMV beamforming based on phase response constraint[J].Electronics Letters,2012,48(20):1304-1306.
[25]许京伟,廖桂生,朱圣棋.基于幅相线性约束的自适应和差波束形成方法研究[J].电子学报,2013,41(9):1724-1729.XU J W,LIAO G S,ZHU S Q.Approach of adaptive sum and difference beamforming based on magnitude and phase linear constraint[J].Acta Electronica Sinica,2013,41(9):1724-1729.
[2]NICKEL U L.Overview of generalized monopulse estimation[J].IEEE Aerospace and Electronic System,2006,21(6):27-56.
[3]CHEN G,XIE W C.Space-time adaptive monopulse based on space-time uniform constraint[C]∥Proc.of the IEEE International Conference on Signal Processing,Communication and Computing,2014:215-218.
[4]王璐,苏志刚,吴仁彪.基于线性约束的空时自适应单脉冲技术[J].电子与信息学报,2010,32(10):2501-2505.WANG L,SU Z G,WU R B.Linear-constraint-based space-time adaptive monopulse processing technique[J].Journal of Eletronics&Information Technology,2010,32(10):2501-2505.
[5]XU J W,WANG C H,LIAO G S,et al.Sum and difference beamforming for angle-Doppler estimation with STAP-based Radars[J].IEEE Trans.on Aerospace Electronic Systems,2016,52(6):2825-2837.
[6]BANG J H,MELVIN W L,LANTERMAN A D.Modelbased clutter cancellation based on enhanced knowledge-aided parame-tric covariance estimation[J].IEEE Trans.on Aerospace Electronic Systems,2015,51(1):154-166.
[7]XIE W,CHEN J,WANG Y L.Study on STAP in non-homogeneous clutter environment[C]∥Proc.of the IEEE Aerospace Conference,2008:1-6.
[8]BROWN R D,SCHNEIBLE R A,WICKS M C,et al.STAP for clutter suppression with sum and difference Beams[J].IEEE Trans.on Aerospace and Electronic Systems,2000,36(2):634-646.
[9]BROWN R D,WICKS M C,ZHANG Y,et al.A space-time adaptive processing approach for improved performance and affordability[C]∥Proc.of the IEEE National Radar Conference,1996:321-326.
[10]WANG H.An overview of space-time adaptive processing for airborne radars[C]∥Proc.of the CIE International Conference on Radar,1996:789-794.
[11]WANG H.Space-time adaptive processing for airborne radar[M].Digital Signal Processing Handbook,CRC Press,USA.
[12]YANG E,ADVE R,CHUN J,et al.Hybrid direct data domain sigma-delta space-time adaptive processing algorithm in non-homogeneous clutter[J].IET Radar,Sonar and Navigation,2010,4(4):611-625.
[13]许京伟,廖桂生,朱圣棋,等.弹载俯冲式非正侧阵雷达杂波特性与抑制方法研究[J].系统工程与电子技术,2013,35(8):1631-1637.XU J W,LIAO G S,ZHU S Q,et al.Clutter characteristic and suppression approach for missile-borne diving nonbroadside array radar[J].Systems Engineering and Electronics,2013,35(8):1631-1637.
[14]HIMED B,ZHANG Y,HAJJARI A.STAP with angle2Doppler compensation for bistatic airborne radars[C]∥Proc.of the IEEE Radar Conference,2002:311-317.
[15]文珺,廖桂生,李明.一种机载前视雷达杂波距离依赖性补偿方法[J].系统工程与电子技术,2010,32(6):1187-1190.WEN J,LIAO G S,LI M.Method to compensate clutter range dependence for airborne forward looking radar[J].Systems Engineering and Electronics,2010,32(6):1187-1190.
[16]RANGASWAMY M,LIN F C,GERLACH K R.Robust adaptive signal processing methods for heterogeneous radar clutter scenarios[J].Signal Processing,2004,84(9):1653-1665.
[17]CAPRARO C T,CAPRARO G T,BRADARIC I,et al.Implementing digital terrain data in knowledge-aided space-time adaptive processing[J].IEEE Trans.on Aerospace and Electronic Systems,2006,42(3):1080-1097.
[18]LIAO B,GUO C,HUANG L,et al.A robust beamformer with main beam control[C]∥Proc.of the IEEE SAM,2016.
[19]LIAO B,GUO C,HUANG L,et al.Robust adaptive beamforming with precise main beam control[J].IEEE Trans.on Aerospace and Electronic Systems,2017,53(1):345-356.
[20]CHEN,F,SHEN,F,SONG,J.Robust adaptive beamforming using low complexity correlation coefficient calculation algorithms[J].Electronics Letters,2015,51(6):443-445.
[21]JONI P L,WEE S,CHONG M,et al.Adaptive uncertainty based iterative robust Capon beamformer using steering vector mismatch estimation[J].IEEE Trans.on Signal Processing,2011,59(9):4483-4488.
[22]YUAN X L,GAN L.Robust algorithm against large look direction error for interference-plus-noise covariance matrix reconstruction[J].Electronics.Letters,2016,52(6):448-450.
[23]ZHU L Y,Wee Ser,MENG H E,et al.Robust adaptive beamformers based on worst-case optimization and constraints on magnitude response[J].IEEE Trans.on Signal Processing,2009,57(7):2615-2628.
[24]XU J W,LIAO G S,ZHU S Q.Robust LCMV beamforming based on phase response constraint[J].Electronics Letters,2012,48(20):1304-1306.
[25]许京伟,廖桂生,朱圣棋.基于幅相线性约束的自适应和差波束形成方法研究[J].电子学报,2013,41(9):1724-1729.XU J W,LIAO G S,ZHU S Q.Approach of adaptive sum and difference beamforming based on magnitude and phase linear constraint[J].Acta Electronica Sinica,2013,41(9):1724-1729.