基于ESPRIT算法的双基地MIMO雷达幅相误差分析

对于双基地多输入多输出（multiple input multiple output，MIMO）雷达，发射和接收阵列幅相误差耦合到一起，不易单独测量。针对阵列存在小扰动幅相误差的MIMO雷达，分别推导了借助旋转不变信号参数估计技术（estimating signal parameter via rotational invariance techniques，ESPRIT）算法的到达角（direction of arrival，DOA）和离开角（direction of departure，DOD）的均方根误差（root mean square error，RMSE）与幅相误差关系表达式。与其他方法相比，ESPRIT算法可以将发射和接收阵列的幅相误差进行解耦，并且DOA和DOD的RMSE只与阵列相位误差相关，与阵列幅值误差无关。仿真结果表明，理论值和仿真实验值能够较好地吻合，验证了理论的正确性。

Analysis of amplitude phase errors in bistatic MIMO radar based on ESPRIT

For the bistatic multiple input multiple output (MIMO)radar, amplitude phase errors of the transmit sensors and the receive sensors are coupled. It is hard to measure respectively. The general expressions for the root mean square error (RMSE) of the estimating signal parameter via rotational invariance techniques (ESPRIT) of direction of arrival (DOA) and direction of departure (DOD) estimation of bistatic MIMO radar under random sensor perturbations are derived, respectively. Compared with other methods, the ESPRIT algorithm can decouple errors of the transmit sensors and the receive sensors. What’s more, the RMSE of DOA and DOD estimation depends only on sensor phase errors, irrelevant to the sensor gain errors. The simulation results show that values of the theory fit those of simulation experiment， and the truth of the theory is demonstrated.