空间色噪声环境下双基地MIMO雷达多目标角度估计和互耦自校正

Multi-Target Angle Estimation and Mutual Coupling Self-Calibration of Bistatic MIMO Radar in Spatial Colored Noise

提出了在空间色噪声环境下双基地MIMO雷达多目标角度估计和互耦自校正的算法。利用四阶累积量能抑制空间色噪声的特性,对数据进行预处理。通过互耦系数矩阵的Toeplitz特性和ESPRIT算法思想,分别提取出发射端和接收端的旋转不变因子,并且实现了发射角和接收角的自动配对。最后利用估计出来的发射角和接收角,采用拉格朗日乘数法实现了互耦系数的自校正。仿真结果证明了本文算法的有效性。

A novel method for multi-target angle estimation and mutual coupling self-calibration of bistatic multiple-input multiple-output （MIMO） radar in spatial colored noise is presented. The receiving data are preprocessed by the fourth-order cumulants, which can suppress the spatial colored noise. The rotation invariant matrices of the transmit arrays and receive arrays are exploited by using the character of Toeplitz matrix and the ESPRIT method. Further, the transmit and receive angles can be estimated without pairing algorithm. Moreover, mutual coupling self-calibration is realized by using the estimated transmit and receive angles and the method of Lagrange multipliers. The effectiveness of the proposed method is verified with computer simulation.