吴梦, 刘宏伟, 周生华, 罗涛. 阵列误差下的多输入多输出雷达测向技术[J]. 电波科学学报, 2014, 29(1): 158-164. doi: 10.13443/j.cjors.2013031103
      引用本文: 吴梦, 刘宏伟, 周生华, 罗涛. 阵列误差下的多输入多输出雷达测向技术[J]. 电波科学学报, 2014, 29(1): 158-164. doi: 10.13443/j.cjors.2013031103
      WU Meng, LIU Hongwei, ZHOU Shenghua, LUO Tao. Direction finding for MIMO radar with sensor mutual coupling and gain-phase errors[J]. CHINESE JOURNAL OF RADIO SCIENCE, 2014, 29(1): 158-164. doi: 10.13443/j.cjors.2013031103
      Citation: WU Meng, LIU Hongwei, ZHOU Shenghua, LUO Tao. Direction finding for MIMO radar with sensor mutual coupling and gain-phase errors[J]. CHINESE JOURNAL OF RADIO SCIENCE, 2014, 29(1): 158-164. doi: 10.13443/j.cjors.2013031103

      阵列误差下的多输入多输出雷达测向技术

      Direction finding for MIMO radar with sensor mutual coupling and gain-phase errors

      • 摘要: 针对多输入多输出(Multiple-Input Multiple-Output, MIMO)雷达收发阵列同时存在阵元互耦效应和幅相误差时目标测向性能下降的问题,提出了一种基于Capon波束形成的测向算法.该方法利用Toeplitz特性降低了参数空间维数,并结合Kronecker积特性将发射和接收阵列的阵列误差去耦合,从而对收发阵列误差进行迭代补偿,最终获得目标方位角的估计.仿真结果验证了所提算法的有效性和可行性.

         

        Abstract: The mutual coupling effects and gain-phase errors can drastically degrade the direction estimation performance of multiple input multiple output (MIMO) radar array. Based on the Capon beamforming algorithm, a new auto-calibration method is proposed. The Toeplitz structure is exploited to reduce the number of unknown parameters. Using the property of Kronecker product, the transmitting and receiving array uncertainties can be decoupled for the error compensation at each iteration. Finally, the estimation of the target direction can be obtained. Simulation results verify the validity of the proposed algorithm.

         

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