MIMO雷达波束形成的低副瓣LCMV算法  

LCMV Algorithm With Low Sidelobe in MIMO Radar Beamforming

作　　者：徐峰[1,2] 孙雨泽 杨小鹏[1,2] 曾涛[1,2] 龙腾[1,2] XU Feng SUN Yu-ze YANG Xiao-peng ZENG Tao LONG Teng(Beijing Key Laboratory of Embedded Real-time Information Processing Technology, Beijing Institute of Technology, Beijing 100081, China School of Information and Electronics, Beijing Institute of Technology, Beijing 100081, China)

机构地区：[1]北京理工大学嵌入式实时信息处理技术北京市重点实验室,北京100081 [2]北京理工大学信息与电子学院,北京100081

出　　处：《信号处理》2017年第6期805-810,共6页Journal of Signal Processing

基　　金：高等学校学科创新引智计划资助项目(B14010);国家自然科学基金资助项目(61671065;61225005;61427802)

摘　　要：针对大口径稀布MIMO雷达副瓣抬高和抗干扰性能劣化的问题,本文提出一种改进的线性约束最小方差(LCMV)波束形成算法。通过密集虚拟干扰构造低副瓣权,并采用修正约束的LCMV算法形成零陷。修正后的约束条件使得方向图达到在指定区域形成零陷,而在非指定区域保持低副瓣的效果。该算法在保持低副瓣电平的同时还能有效抑制干扰,特别是在低系统自由度的条件下能有效解决MIMO雷达方向图低副瓣和远区杂波干扰问题。仿真结果验证了所提算法的有效性。In order to solve the problem of high sidelobe level and anti-jammering performance degradation in larger sparse MIMO radar, a modified LCMV algorithm based on designing constraints is proposed. In this proposed method, the low sidelobe weights are calculated by inserting virtual dense interference; and the nulls are formed by modified constraints in LCMV algorithm. Thus the pattern can maintain low side-lobe level while forming nulls in specified region. The proposed method can achieve desirable interference suppression and low side-lobe level simultaneously, especially under the condition of low free degree of system. Simulation results prove the efficiency of this modified LCMV algorithm.

关 键 词：MIMO雷达 副瓣抑制 抗干扰 线性约束 

分 类 号：TN958[电子电信—信号与信息处理]