Joint DOA and Polarization Estimation of Conformal Electromagnetic Vector Array
Xiaoyu Lan, Jingzhou Wang, Lai Jiang · 2022 IEEE 5th International Conference on Electronics Technology (ICET) · 2022
The joint direction of arrival (DOA) and polarization estimation method of narrow-band signals impinging on a conformal electromagnetic vector sensor array (CEVSA) is addressed based on the sparse Bayesian learning (SBL) perspective in this paper. Unlike the most state-of-the-art approaches are based on the linear or planar array, the CEVSA is built by placing electromagnetic vector sensors on the conformal array. Hence, the inconsistent radiation pattern of the conformal array will greatly decrease the estimation performance especially in the case of low signal to noise ratio (SNR) and small snapshots. Aim to solve the problems, firstly, the received array signal model based on CEVSA is formulated and the sparse representation of the signal model is constructed. Then the two-dimensional DOA is estimated by utilizing the SBL technique. Finally, the polarization information is obtained by the minimum eigenvector method. Simulation experiments show that the proposed method could achieve robust and high-precision DOA and polarization estimation under low SNR and small snapshots.