提出了在单基地多输入多输出(Multiple—inputmultiple—output,MIM0)雷达中的基于十字阵的一种低复杂度的二维波达方向(Directionofarrival,DOA)估计算法。该算法利用传播算子法(Propagatormethod,PM)避免了协方差矩阵的构造及其特征值分解,也无需谱峰搜索,从而大大降低了运算的复杂度;同时该算法可实现方位角和仰角的自动配对。本文算法的性能在高信噪比下逼近借助旋转不变技术估计信号参数(Estimationofsignalparametersviarotationalinvariancetechniques,ESPRIT)算法。文中还推导了目标方位角和仰角的均方误差。仿真结果证明了该算法的有效性。
The propagator method (PM) is presented for two-dimensional direction ot arrival (DOA) estimation with a low computational load based on cross array in monostatic multipleinput multiple-output (MIMO) radar. The proposed algorithm requires no construction of the cross correlation matrix and its eigen-value decomposition, and also avoids peak searching which consumes much time of computation. Therefore, the computational complexity can be considerably reduced. Meanwhile, the azimuth and elevation angles can be automatically paired using the algorithm. The algorithm performance approaehs to that of the estimation of signal parameters via rotational invariance techniques (ESPRIT) algorithm in high signal-to-noise ra- tio (SNR), which has much higher complexity than the proposed algorithm. Moreover, the mean square errors of the azimuth and elevation angle estimation are derived. Simulation resuits prove the effectiveness and robustness of the proposed algorithm.