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基于提升小波改进型阈值函数的雷达生命信号去噪技术 被引量:6

De-noising Technology of Radar Life Signal Based on Lifting Wavelet Transform and Improved Soft Threshold Function
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摘要 通过引入生物电理论,完善了连续波雷达生命信号的理论模型;采用提升小波变换和改进型阈值函数去噪技术对强噪声干扰的雷达生命信号进行去噪处理,将166.67mm波长雷达生命信号的信噪比由2.046 8优化到6.696 9,均方误差由1.763 9优化到0.909 9;8.57mm波长雷达生命信号的信噪比由0.942 6优化到2.541 8,均方误差由1.980 6优化到1.286 0.结果表明:本文建立的连续波雷达生命信号理论模型与实际情况相符,采用的去噪方案适用于雷达生命检测系统不同波长的雷达波. Theoretical model of the continuous wave radar life signal was improved by introducing the biological electric theory. Using the lifting wavelet transform and the improved threshold function denoising technique, the radar life signal of the strong noise was processed. The signal to noise ratio and the mean square error of the radar life signal of the 166.67 mm wavelength are optimized from 2.0468 and 6.6969 to 1.7639 and 0.9099, and 8.57 mm wavelength are optimized from 0.9426 and 1.9806 to 2.5418 and 1.2860. The result indicates that the theoretical model of the continuous wave radar life signal is consistent with the actual situation and the denoising scheme can be applied to radar wave at different wavelengths.
出处 《光子学报》 EI CAS CSCD 北大核心 2016年第7期119-124,共6页 Acta Photonica Sinica
基金 国家自然科学基金(No.61273271)资助~~
关键词 信号处理 理论模型 雷达生命信号 小波变换 去噪 阈值函数 信噪比 均方误差 Signal processing Theoretical model Radar life signal Wavelet transform De-noising Threshold function Signal to noise ratio Mean square error
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