文章摘要
李季,孙同晶,刘桐.融入频域先验信息压缩感知方法的主动声呐回波信号处理[J].声学技术,2020,39(5):532~539
融入频域先验信息压缩感知方法的主动声呐回波信号处理
Active sonar echo signal processing based on the compressed sensing method with prior information in frequency domain
投稿时间:2019-07-09  修订日期:2019-08-17
DOI:10.16300/j.cnki.1000-3630.2020.05.003
中文关键词: 主动声呐信号  频域先验信息  压缩感知  稀疏分解  信号重构
英文关键词: active sonar signal  prior information in frequency domain  compressed sensingl  sparse decomposition  signal reconstruction
基金项目:“十三五”预研领域基金项目资助(6140243010116DZ04001)
作者单位E-mail
李季 杭州电子科技大学通信信息传输与融合技术国防重点学科实验室, 浙江杭州 310018 leejiing@163.com 
孙同晶 杭州电子科技大学通信信息传输与融合技术国防重点学科实验室, 浙江杭州 310018  
刘桐 杭州电子科技大学通信信息传输与融合技术国防重点学科实验室, 浙江杭州 310018  
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中文摘要:
      针对弱信噪比时的水下主动声呐回波信号处理问题,从主动声呐入射信号和目标回波信号的先验信息出发,与压缩感知理论相结合,提出了融入频域先验信息的压缩感知方法(Compressed Sensing based on Fequency Prior Information,CSFPI)。针对主动声呐入射信号,获取其频域先验信息,将其作为“原子”融入信号的稀疏分解过程,构建完备频域先验稀疏矩阵。主动声呐回波信号可以等效为携带目标信息入射信号的线性叠加,将该特性与传统正交匹配追踪(Orthogonal Matching Pursuit,OMP)算法结合,形成基于“块”的正交匹配信号重构算法。采用CSFPI方法处理仿真信号来验证理论方法的正确性。进一步,通过主动声呐发射接收装置获取湖上实测数据,用CSFPI方法进行处理。当压缩比为50%、信噪比低至-5 dB时,重构信号的匹配率高于70%。实验结果表明了CSFPI算法在处理低信噪比声呐信号时的有效性。
英文摘要:
      To process the low-SNR echo signal of active sonar, a method of compressed sensing based on frequency prior information (CSFPI) is proposed in this paper, which combines the prior information of incident signal and target echo signal of active sonar with compressed sensing theory. The prior information of the incident signal of active sonar in frequency domain is obtained to incorporate into the sparse decomposition process as an ‘atom’ for the construction of a complete prior sparse matrix. The echo signal of active sonar is equivalent to the linear representation of the incident signal carrying target information. By combining the feature of the echo with the orthogonal matching pursuit (OMP) algorithm, a "block" orthogonal matching signal reconstruction algorithm is formed. First, the validity of CSFPI method is verified by simulation. Then, the CSFPI method is used to process the measured data in lake trial. When the lake date compression ratio is 50%, and the signal to noise ratio (SNR) is low to -5 dB, the matching rate of reconstructed signal is higher than 70%. The experimental results show that the CSFPI algorithm is effective in dealing with sonar signals of low SNR.
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