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.
作者
徐峰
孙雨泽
杨小鹏
曾涛
龙腾
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)
出处
《信号处理》
CSCD
北大核心
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)
关键词
MIMO雷达
副瓣抑制
抗干扰
线性约束
MIMO radar
suppress the sidelobe
anti-jamming
linear constraints
