空间分集MIMO雷达的DOA估计新方法

A New DOA Estimation Algorithm on spatial diversity MIMO Radar

  • 摘要: 多输入多输出(MIMO)雷达分布式布阵获得空间分集增益,但DOA估计是一个难题。该文分析了DOA估计的旁瓣一致现象,从空间分集MIMO雷达信号模型出发,推导了发射正交PCM信号,在接收端匹配滤波信号分选构造虚拟子阵的过程,提出了一种谱值优选算法进行空间分集MIMO雷达DOA估计。该算法得到目标在各子阵的最优估计,在发射端获得空间分集增益抑制目标闪烁的同时,在接收端进行稳健的多目标波达方向超分辨估计。最后仿真实验与相控阵进行了比较,表明了该算法的有效性,以及抑制目标闪烁改善DOA估计的能力。

     

    Abstract:  MIMO radar obtains spatial diversity by distributed sensors, which are difficult for estimation of DOA. In this paper, sidelobes of DOA estimations are analysized,which are equal in some conditon. Commencing with signal model, virtual subarrays are designed through filters by transmitting orthogonal signals, and the Spectrum Selection(SPS) algorithm is proposed. The algorithm obtains the best estimations of all targets from every subarrary, and receives spatial diversity as well as robust super-resolusion direction-of-arrival estimation.At last the simulated results show that the SPS algorithm is effective and improves the performance of DOA estimations.

     

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