基于分子阵预处理的最小方差无畸变响应波束形成方法
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摘要
针对最小方差无畸变响应(MVDR)波束形成中背景噪声和旁瓣级对弱目标检测影响问题,提出了基于分子阵预处理的MVDR波束形成方法。该方法首先对线列阵接收数据进行分组处理;然后按搜索角度对各组数据进行相移、相加处理,得到一组新数据;最后按MVDR波束形成思想对该组新数据进行处理,可得到低背景噪声和旁瓣级波束。理论推导分析、数值仿真和实测数据处理结果均表明,该方法对线列阵接收数据进行了分子阵预处理,相比MVDR波束形成,有效提高了线列阵接收数据协方差矩阵中信号含有量和信噪比,输出背景噪声级和旁瓣级得到了10dB以上的改善,降低了背景噪声和旁瓣级对MVDR波束形成检测弱目标的影响,提高了MVDR波束形成对弱目标的检测效果。
For the impact problem of the side-lobe level and background noise of minimum variance undistorted response beam-forming on weak targets detection,the MVDR beam-forming method based on sub-array preprocessing was proposed.Firstly,this method made sub-group preprocessing for linear array receiving data.Then,phase shift and addition pretreatment were carried out for the data of sub-group on the search angle,and obtained a new set of data.Lastly,the low background noise level and side-lobe level beam of the search angle was obtained by MVDR beam-forming.Theoretical analysis,numerical simulation and experimental results showed that this method preprocessed sub-array for the linear array receiving data,compared with MVDR beam-forming,improved the signal and SNR of covariance matrix,improved the background noise level and side-lobe level more than 10 dB,and reduced the impact of side-lobe level and background noise on weak targets detection,and improved the detection effect of MVDR beam-forming for weak target.
For the impact problem of the side-lobe level and background noise of minimum variance undistorted response beam-forming on weak targets detection,the MVDR beam-forming method based on sub-array preprocessing was proposed.Firstly,this method made sub-group preprocessing for linear array receiving data.Then,phase shift and addition pretreatment were carried out for the data of sub-group on the search angle,and obtained a new set of data.Lastly,the low background noise level and side-lobe level beam of the search angle was obtained by MVDR beam-forming.Theoretical analysis,numerical simulation and experimental results showed that this method preprocessed sub-array for the linear array receiving data,compared with MVDR beam-forming,improved the signal and SNR of covariance matrix,improved the background noise level and side-lobe level more than 10 dB,and reduced the impact of side-lobe level and background noise on weak targets detection,and improved the detection effect of MVDR beam-forming for weak target.
引文
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[16]李璇,鄢社锋,马晓川.对角加载最小二乘法的时间延迟估计[J].声学学报,2011,36(5):469-475.
[2]马远良.任意结构形状传感器阵方向图的最佳化[J].中国造船,1984,87(4):78-85.
[3]Olen C A,Compton R T.A numerical pattern synthesis algorithm for arrays[J].IEEE Transactions on Antennas Propagat,1990,38(8):1666-1676.
[4]Zhou P Y,Ingram M A,Anderson P D.Synthesis of minimax sidelobes for arbitrary arrays[J].IEEE Transactions on Antennas Propagat,1998,46(9):1759-1760.
[5]Song H,Iiuperman W A,Hodgkiss W S,et al.Null broadening with snapshot deficient covariance matrices in passive sonar[J].IEEE Journal Oceanic Engineering,2003,28(2):250-261.
[6]Jiao Y C,Wei W Y,Huang L W,et al.A new low sidelobe pattern synthesis technique for conformal arrays[J].IEEE Transactions on Antennas Propagat.,1993,41(5):824-831.
[7]Lebret H,Boyd S.Antenna array pattern synthesis via convex optimization[J].IEEE Transactions on Signal Processing,1997,45(3):526-532.
[8]Nordebo S,Zang Zhuquan,Claesson L.A semi-infinite quadratic programming algorithm with applications to array pattern synthesis[J].IEEE Transactions on Circuits and Systerns II:Analog and Dagatal Sagnal Processing,2001,48(3):225-232.
[9]鄢社锋,马远良,孙超.任意几何形状和阵元指向性的传感器阵列优化波束形成方法[J].声学学报,2005,30(3):264-270.
[10]毕杨,王英民,王奇.双重优化的宽带聚焦波束形成算法研究[J].兵工学报,2017,38(8):1563-1571.
[11]谷新禹,李秀坤.一种基于中心矩的波束形成算法[J].电子学报,2014,42(7):1374-1378.
[12]丁永超,刘成城,赵拥军,等.稳健的宽带多径干扰抑制波束形成算法[J].信号处理,2014,30(9):1104-1121.
[13]刘振,孙超,刘雄厚,等.一种加权稀疏约束稳健Capon波束形成方法[J].物理学报,2016,65(10):104303-1-9.
[14]郑恩明,张恩宾,孙长瑜,等.一种基于重置协方差矩阵的波束形成优化方法[J].振动与冲击,2015,34(17):184-189.
[15]郑恩明,黎远松,陈新华,等.改进的最小方差无畸变响应波束形成方法[J].上海交通大学学报,2016,50(2):188-193.
[16]李璇,鄢社锋,马晓川.对角加载最小二乘法的时间延迟估计[J].声学学报,2011,36(5):469-475.