摘要
研究水声环境下匹配场定位中快拍数少和相干声源导致定位不准确问题。在水下目标定位的稀疏数学模型基础上,通过对测量矩阵中的列向量的模进行标准化,降低了由于距离原因对声源定位性能的影响;使用奇异值分解法对快拍数进行精简,降低了算法的时间复杂度;结合压缩感知理论的SOMP算法,实现高效的水下目标定位。仿真实例验证了该算法的有效性。
The problem caused by being short of snapshots and by coherent sources in the matched field localization is considered. The sparse mathematical model of underwater localization is constructed, and the adverse effects caused by long distance in source localization is reduced through normalization of the vectors in the measurement matrix; Time complexity is also reduced by the singular value decomposition to the snapshots matrix; combined with the SOMP algorithm in compressed sensing theory, high performance underwater localization is achieved. Simulation results demonstrate the efficiency of the proposed algorithm.
出处
《中国海洋大学学报（自然科学版）》
CAS
CSCD
北大核心
2015年第10期127-132,共6页
Periodical of Ocean University of China
基金
中国科学院声场声信息国家重点实验室开放基金项目(SKLA201202)资助
