数据采集与处理2016，Vol.31Issue(2)：282-288,7.DOI:10.16337/j.1004-9037.2016.02.007
基于稀疏分解的水下目标回波信号处理方法
Underwater Echo Signal Processing Method Based on Sparse Decomposition
摘要
Abstract
For ultra‐low‐SNR underwater weak signal processing problem ,an underwater echo signal pro‐cessing method is presented based on the theory of sparse decomposition and the combined matched pur‐suit method .The focus is how to integrate the prior information ,such as the incident signal and the echo model ,into the sparse dictionary (atoms) .First ,the highlight model of underwater echo signal is estab‐lished ,the relation between the echo model and incident signal is obtained ,and the over complete diction‐ary fitting for echo signal characteristics is structured by discretizing ,energy normalizing and shifting the known transmitting signal .And then ,the sparse decomposition of underwater echo signal is conducted based on the matched pursuit method ,and the processing results are compared and analyzed with the commonly used matched filter methods .The simulation results show that the proposed method can accu‐rately reconstruct the original echo signal ,and has obvious advantage in processing underwater echo sig‐nal with ultra‐low SNR .关键词
主动声纳/目标回波/稀疏分解/匹配滤波/过完备原子库Key words
active sonar/target echo/sparse composition/matched filter/over-complete atom dictionary分类
信息技术与安全科学引用本文复制引用
孙同晶,贺锦鹏,谷雨..基于稀疏分解的水下目标回波信号处理方法[J].数据采集与处理,2016,31(2):282-288,7.基金项目
国防科技重点实验室基金（9140C260202150C26112）资助项目。 （）
