李建峰, 张小飞. 低快拍下多输入多输出雷达中的角度估计算法[J]. 电波科学学报, 2012, 27(3): 452-457.
      引用本文: 李建峰, 张小飞. 低快拍下多输入多输出雷达中的角度估计算法[J]. 电波科学学报, 2012, 27(3): 452-457.
      LI Jian-feng, ZHANG Xiao-fei. Angle estimation algorithm in bistatic MIMO radar under low snapshots[J]. CHINESE JOURNAL OF RADIO SCIENCE, 2012, 27(3): 452-457.
      Citation: LI Jian-feng, ZHANG Xiao-fei. Angle estimation algorithm in bistatic MIMO radar under low snapshots[J]. CHINESE JOURNAL OF RADIO SCIENCE, 2012, 27(3): 452-457.

      低快拍下多输入多输出雷达中的角度估计算法

      Angle estimation algorithm in bistatic MIMO radar under low snapshots

      • 摘要: 研究了双基地多输入多输出(MIMO)雷达中的角度估计问题,提出了一种低快拍下的MIMO雷达的离开角(DOD)和波达角(DOA)联合估计算法。该算法利用矩阵束方法从接收数据中构造出扩展矩阵来进行奇异值分解(SVD),进而进行二维角度估计联合估计。在低快拍数情况下所提算法的角度估计性能优于传统的借助旋转不变技术的信号参数估计(ESPRIT)方法,同时该算法能自动配对、无需谱峰搜索,而且复杂度也低于传统的ESPRIT算法。分析了所提算法复杂度,推导了克拉美-罗界(CRB)。仿真结果验证了该算法的有效性。

         

        Abstract: In this paper,we consider the problem of angle estimation for bistatic multiple-input multiple-output(MIMO)radar,and propose a method for joint direction of departure(DOD)and direction of arrival(DOA)estimation under low snapshots.The proposed algorithm use matrix pencil method to construct extended matrix from the received data,after the singular value decomposition(SVD)of the matrix,the angles can be joint estimated.The angle estimation performance of the proposed algorithm is better than the traditional estimation of signal parameters via rotational invariance techniques(ESPRIT)algorithm under low snapshots,and the angles estimated by the proposed algorithm can automatically match,meanwhile the complexity is lower than ESPRIT algorithm.We analyze the complexity and derive the Cramer-Rao bound(CRB)in this paper.The simulation results verify the effectiveness of the algorithm.

         

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