一种小样本下的方向图副瓣控制算法  

A Pattern Sidelobe Control Algorithm Under Small Sample Size Condition

作　　者：王奇 葛俊祥 沈肖雅[1,2,3] 王坡 WANG Qi;GE Junxiang;SHEN Xiaoya;WANG Po(Jiangsu Key Laboratory of Meteorological Observation and Information Processing,Nanjing 210044,China;Jiangsu Technology and Engineering Center of Meteorological Sensor Network,Nanjing 210044,China;Institute of Radar Technology,Nanjing University of Information Science and Technology,Nanjing 210044,China)

机构地区：[1]江苏省气象探测与信息处理重点实验室,江苏南京210044 [2]江苏省气象传感网技术工程中心,江苏南京210044 [3]南京信息工程大学雷达技术研究所,江苏南京210044

出　　处：《雷达科学与技术》2019年第3期345-349,共5页Radar Science and Technology

基　　金：国家自然科学基金(No.61671249)

摘　　要：为解决常规方向图控制算法中的方向图副瓣较高、样本量较小时方向图起伏较大的问题,提出了一种小样本下的方向图副瓣控制算法。该算法在最小方差无失真响应(MVDR)波束形成器中,将输出方向图的低副瓣控制和降低样本处理数量的方法相结合,通过对MVDR波束形成器的最优权矢量附加Dolph-Chebyshev锥化权和把阵列权矢量约束于噪声子空间,得到的方向图在小样本情况下干扰置零的同时,解决了副瓣电平过高和方向图不稳定的问题,减小了快变干扰的影响。计算机仿真实验证实了所提算法的有效性。To solve the problem of high sidelobe and large fluctuation under limited samples in the conventional beamforming algorithm,a pattern control algorithm under small sample size and low sidelobe is proposed.In the minimum variance distortion-free response(MVDR)beamformer,the low sidelobe control method of the output pattern and a method of reducing the number of samples are combined.By attaching Dolph-Chebyshev coning weight to the optimal weight vector of MVDR beamformer and constraining the array weight vector with noise subspace,the resulting pattern has a good interferences nulling performance.At the same time,the problems of high sidelobe level and unstable pattern in limited samples are solved and the interference influence can be reduced.Simulation results verify the effectiveness of the proposed method.

关 键 词：波束形成器 低副瓣 小样本 干扰置零 

分 类 号：TN911.4[电子电信—通信与信息系统]