基于矢量传感器的扩展孔径双基地MIMO雷达多目标定位算法

该文研究基于电磁矢量传感器的扩展孔径多输入多输出(MIMO)雷达多目标定位算法。提出了一种新型MIMO雷达系统,发射阵列采用常规阵元,而接收阵列采用电磁矢量传感器,且传感器间距大于半波长。算法首先采用ESPRIT算法获得目标波达角(DOA)高精度模糊估计,随后利用矢量传感器的内在结构特点结合子空间旋转不变性获得目标DOA低精度无模糊估计进行解模糊,从而得到目标高精度DOA估计。最后利用已知DOA信息,采用1维MUSIC算法获得目标波离角(DOD)高精度估计。与已有算法相比,该算法大大提高了MIMO雷达的目标定位精度,且无需配对和2维搜索,具有较低的运算量。仿真结果证明了所提算法的有效性,其估计精度与CRB界接近。

Extended-aperture Mulit-target Location Algorithm for MIMO Radars with Vector Sensors

A multi-target location algorithm is proposed for MIMO radar with extended-aperture array of electromagnetic vector sensors.A novel bistatic MIMO radar system with multiple transmit sensors and multiple receive electromagnetic vectors is introduced,and receive element spacing is greater than half-wavelength.The ESPRIT method is employed to extract a set of high accurate but ambiguous Direction Of Arrive(DOA),then the low accurate but unambiguous estimates which are obtained utilizing the internal structure feature of the vector sensors and subspace rotation invariance are used to disambiguate the ambiguous DOA to yield high accurate and unambiguous DOA.One-dimensional MUSIC method is employed to get the Departure Of Direction(DOD) estimates with the known DOA.The algorithm improves greatly the accuracy of MIMO radar location,requires no two-dimensional searches and parameter pairing,thus showing low computational complexity.Simulation results verify the effectiveness of the proposed algorithm,and the estimation accuracy is close to the Cramer-Rao Bound(CRB).