文章摘要
杨天霖,杜选民,周胜增.预白化与小波变换联合的混响抑制方法研究[J].声学技术,2021,40(1):110~116
预白化与小波变换联合的混响抑制方法研究
Research on the reverberation suppression method combining pre-whitening and wavelet transform
投稿时间:2019-11-01  修订日期:2019-12-04
DOI:10.16300/j.cnki.1000-3630.2021.01.017
中文关键词: 主动声呐  预白化  小波变换  匹配滤波  混响抑制
英文关键词: active sonar  pre-whitening  wavelet transform  matched filter  reverberation suppression
基金项目:
作者单位E-mail
杨天霖 上海船舶电子设备研究所, 上海 201108 yangtianlin726@163.com 
杜选民 上海船舶电子设备研究所, 上海 201108  
周胜增 上海船舶电子设备研究所, 上海 201108  
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中文摘要:
      针对主动声呐在强混响背景下匹配滤波器检测性能不理想的问题,提出了将预白化与小波变换联合处理方法。首先将混响预白化处理,然后通过小波变换将混响和回波信号分解到不同的尺度空间下,在尺度空间进行阈值量化处理,对有用的信号成分进行数据重构,最后利用重构的数据进行匹配滤波处理,使得混响被有效抑制,改善检测性能。仿真和试验数据处理结果验证了该方法的有效性,信混比可以提高约3 dB。
英文摘要:
      In order to solve the problem that the active sonar detection performance of matched filter is not ideal in strong reverberation background. A method combining pre-whitening and wavelet transform is proposed. Firstly, the reverberation is pre-whitened, and then the reverberation and the echo signals are decomposed into different scale spaces by wavelet transform. The threshold quantization is carried out in the scale space to preserve the useful signal components for data reconstruction. Finally, the reconstructed data are processed by the matched filter, so that the reverberation is effectively suppressed and the detection performance is significantly improved. Simulation and experimental data processing results verify the effectiveness of this method, and the ratio of signal-to-reverberation can be improved by 3 dB.
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