基于MUSIC和ESPRIT的双基地MIMO雷达角度估计算法

该文基于2阶和4阶统计量，提出了空间高斯白噪声和高斯色噪声的背景下联合MUSIC和ESPRIT的双基地MIMO雷达角度估计算法。在接收端，通过单天线的MUSIC算法和双天线的ESPRIT算法分别估计目标的离开方向(Direction Of Departure, DOD)和波达方向(Direction Of Arrival, DOA)，且DOD和DOA自动配对。该方法充分利用了MIMO雷达阵列孔径扩展的特征和ESPRIT的子空间旋转不变性，将2维参数估计问题转化为两个1维形式，降低了运算量和系统复杂度。计算机仿真验证了该方法的有效性。

Combined MUSIC with ESPRIT Algorithm for Angle Estimation in Bistatic MIMO Radar System

An algorithm combined MUSIC with ESPRIT for angle estimation based on two- or four-order statistics in bistatic MIMO radar system is presented in this paper. The proposed method based on two-order expectation is under the spatial Gaussian white noise environment and four-order cumulant the colored noise. By exploiting MUSIC with one-sensor owing to its extended array aperture and ESPRIT with two-sensor via the rotational invariance property of signal-subspace at the receive end, the Direction Of Departures (DODs) and Direction Of Arrivals (DOAs) of the targets can be estimated separately and paired automatically. The computational burden can be reduced since two-dimensional parameter estimation has been separated into two one-dimensional forms. Numerical results are presented to demonstrate the effectiveness of the method advanced.