Aiming at the difficulty in extracting weak power frequency magnetic anomaly signals of underwater targets in the strong noise background,a wavelet-based compressed sensing denoising method was proposed.This method took advantage of the fact that noise signals were not sparse,decomposed the noisy signals in the wavelet domain,and performed compressed sensing reconstruction and denoising on this basis,thereby achie-ving the maximum separation of the weak power frequency magnetic anomaly signals and noise.Simulation and experimental verification showed that this method not only achieved good denoising effect,but also avoided the influence of threshold selection on denoising effect in wavelet threshold filtering,and could retain the inherent characteristics of the original signal to the greatest extent.This method provided the possibility for accurate de-tection of power frequency magnetic anomalies of underwater targets.
关键词
降噪/压缩感知/小波/水下目标识别/工频磁场探测
Key words
noise reduction/compressed sensing/underwater target recognition/power frequency magnetic field detection
维普
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