Joint DOD DOA and Polarization Estimation for MIMO Radar with Electromagnetic Vector Sensors
Wang Ke-rang① Zhu Xiao-hua① He Jin②
①(School of Electronic Engineering and Optoelectronic Technology, Nanjing University of Science and Technology, Nanjing 210094, China) ②(Department of Electrical and Computer Engineering, Concordia University, Montreal H3G1M8, Canada)
Abstract：The issue of joint estimation of Direction Of Departure (DOD), Direction Of Arrive (DOA) and polarization for MIMO radar with electromagnetic vector sensors is investigated. A novel bistatic MIMO radar system with multiple transmit sensors and multiple receive electromagnetic vector sensors is proposed. Three joint parameter estimation algorithms, which are, respectively, termed as four-dimensional MUSIC, ESPRIT and iterative one-dimensional (1D) MUSIC, are presented. The iterative 1D-MUSIC algorithm first uses the internal structure of the vector sensors to obtain a set of initialize DOA estimates, and then two 1D-MUSIC searches are employed to get the DOD and DOA estimates in succession, finally a polarization ESPRIT algorithm is proposed for polarization estimation. The iterative 1D-MUSIC algorithm is suitable for irregular array geometry, imposes less constraints on the receive array geometries, and requires no two-dimensional or high-dimensional searching. Moreover, this algorithm can improve the DOA estimation performance by extending the array aperture. The CRB for the issue under consideration is also derived. Simulations show that the estimation accuracy of the iterative 1D-MUSIC algorithm is closest to the CRB, compared with those of the previous two algorithms.
王克让, 朱晓华, 何劲. 基于矢量传感器MIMO雷达的DOD DOA和极化联合估计算法[J]. 电子与信息学报, 2012, 34(1): 160-165.
Wang Ke-Rang, Zhu Xiao-Hua, He Jin. Joint DOD DOA and Polarization Estimation for MIMO Radar with Electromagnetic Vector Sensors. , 2012, 34(1): 160-165.
2012, Vol. 34 
