摘要
针对现有的MIMO雷达波束形成算法在联合导向矢量失配较大时,输出信噪比性能严重下降的问题,提出了一种用于MIMO雷达的迭代鲁棒Capon波束形成算法。首先,结合MIMO雷达收发两端的结构特点,对失配误差模型进行了理论分析,从而指出大不确定集算法的局限性。然后提出利用小不确定集可以解决误差失配较大的情形,依据迭代思想对导向矢量期望值估计进行求解,由满足的迭代条件确保联合导向矢量更准确。仿真结果表明,该算法对联合导向矢量失配误差具有鲁棒性,输出信噪比性能最优。
The output SINR of the existing MIMO radar beamforming algorithms may decrease greatly due to the large mismatch of the joint steering vector. To solve this problem, an algorithm using iterative robust Capon beamforming for MIMO radar is proposed. Considering the transceiver array structure of MIMO radar,the mismatch error model is analyzed in theory at first. Based on this, we point out the limitations of the biguncertainty-set algorithm. Then, an algorithm using small uncertainty sets to constraint large mismatch is proposed. The proposed algorithm iterates over the estimated joint steering vector until meeting the designed termination conditions. Compared with the previous algorithms, the proposed method can acquire a more accurate estimation of the joint steering vector. Simulation experiments show that the proposed algorithm presents outstanding performance in improving the output SINR and has strong robustness in the case of large mismatch.
作者
周淑华
谭志浩
金伟
贾维敏
ZHOU Shu-hua;TAN Zhi-hao;JIN Wei;JIA Wei-min(The PLA Rocket Force Academy,Qingzhou 262500,China;Rocket Force University of Engineering,Xi'an 710025,China)
出处
《电光与控制》
CSCD
北大核心
2019年第3期24-29,共6页
Electronics Optics & Control
基金
国家自然科学基金(61179004)
关键词
MIMO雷达
自适应波束形成
RCB算法
迭代
MIMO radar
adaptive beamforming
Robust Capon Beamforming(RCB) algorithm
iteration
