DOA estimation based on multiple beamspace measurements sparse reconstruction for manoeuvring towed array

2016 International Conference on Communication, Image and Signal Processing

物理学;无线电电子学;计算机科学

Yuan, J.^1 ; Xiao, H.^2 ; Cai, Z.M.^1 ; Xi, C.^1

Naval University of Engineering, Wuhan, Hubei, China^1

Air Force Early Warning Academy, Wuhan, Hubei, China^2

关键词: Conventional beam forming;    Direction of arrivalestimation(DOA);    Estimation performance;    Sparse reconstruction;    Sparse signal models;    Spatial spectrum estimation;    Suppression ratios;    Towed linear array sonar;   

Others  :  https://iopscience.iop.org/article/10.1088/1742-6596/787/1/012026/pdf
DOI  :  10.1088/1742-6596/787/1/012026

学科分类：计算机科学（综合）

来源: IOP

【 摘 要 】

The port-starboard ambiguity in the conventional single towed linear array sonar is one of the most deceiving obstacles which exist in the way of development of spatial spectrum estimation. In order to improve the performance of target detection and Direction of Arrival (DOA) estimation, this paper proposes a novel spatial spectrum sparse reconstruction method based on multiple beamspace measurements (MBM-SR). An array sparse signal model for manoeuvring towed array is established. Then the Mutual Incoherent Property (MIP) is analyzed to ensure the proposed algorithm possessing better spatial spectrum reconstruction property. Simulation results demonstrate that, compared with Conventional Beam Forming (CBF) algorithm, the proposed algorithm has evident advantage in ambiguity suppression ratio (ASR) and estimation performance.