Low complexity MIMO sonar imaging using a virtual sparse linear array

作     者：Xionghou Liu Chao Sun Yixin Yang Jie Zhuo Yina Han 

作者机构：School of Marine Science and Technology Northwestern Polytechnical University State Key Laboratory of Acoustics Institute of Acoustics Chinese Academy of Sciences 

出 版 物：《Journal of Systems Engineering and Electronics》 (系统工程与电子技术（英文版）)

年 卷 期：2016年第27卷第2期

页      面：370-378页

核心收录：

学科分类：082403[工学-水声工程] 08[工学] 0824[工学-船舶与海洋工程] 

基　　金：supported by the National Natural Science Foundation of China(51509204) the Opening Project of State Key Laboratory of Acoustics(SKLA201501) the Fundamental Research Funds for the Central Universities(3102015ZY011) 

主　　题：multiple input multiple output(MIMO) sonar simulated annealing sonar imaging sparse arrays 

摘      要：A multiple-input multiple-output（MIMO） sonar can synthesize a large-aperture virtual uniform linear array（ULA） from a small number of physical elements. However, the large aperture is obtained at the cost of a great number of matched filters with much heavy computation load. To reduce the computation load, a MIMO sonar imaging method using a virtual sparse linear array（SLA） is proposed, which contains the offline and online processing. In the offline processing, the virtual ULA of the MIMO sonar is thinned to a virtual SLA by the simulated annealing algorithm, and matched filters corresponding to inactive virtual elements are removed. In the online processing, outputs of matched filters corresponding to active elements are collected for further multibeam processing and hence, the number of matched filters in the echo processing procedure is effectively reduced. Numerical simulations show that the proposed method can reduce the computation load effectively while obtaining a similar imaging performance as the traditional method.