多基线数据融合的双基地MIMO雷达角度估计

Angle estimation based on multibaseline data fusion for bistatic MIMO radar

提出了一种双基地MIMO雷达角度估计方法。在发射端利用ESPRIT算法获取长短基线的旋转不变因子,通过联合对角化提高离开角度(DOD)的估计精度。根据已估计的DOD,采用迭代算法得到接收导向矢量。针对等距线阵和非等距线阵,分别提出了基于范德蒙矩阵特性和解模糊的多基线联合到达角度(DOA)估计方法,避免了两维搜索且角度自动配对。计算机仿真验证了该方法的有效性和优越性。

Angle estimation based on multibaseline data fusion for bistatic MIMO radar is proposed.The accuracy of direction-of-departure（DOD） estimation is improved by joint diagonalization of rotational invariance factor which is acquired through processing multibaseline with ESPRIT algorithm at transmitter.In terms of the DOD obtained,an iterative method is introduced to calculate the receiver steering vector.Direction-of-arrival（DOA） estimation techniques based on the characteristic of Vandermonde matrix and multibaseline data fusion of solving phase ambiguity are adopted to uniform linear array（ULA） and non-uniform linear array（NULA）,respectively.Furthermore,the DOD and DOA of target can be paired automatically.The computational cost is reduced by using the numerical algorithms of ESPRIT free from two-dimensional spectral peak search.Analysis and numerical examples demonstrate the effectiveness of the method.