集成电路与嵌入式系统2025，Vol.25Issue(3)：47-53,7.DOI:10.20193/j.ices2097-4191.2024.0064
基于固有时间尺度分解的跳频信号降噪算法
Algorithm for frequency-hopping signal de-noising based on intrinsic time-scale decomposition
胡洪1
作者信息
- 1. 中国西南电子技术研究所,成都 610036
- 折叠
摘要
Abstract
A new denoising algorithm for frequency hopping signals based on intrinsic time-scale decomposition(ITD)is proposed to ad-dress issues such as low signal-to-noise ratio,difficulty in analysis and reconstruction.The algorithm takes ITD as its core,and uses the decomposition processing to obtain the sudden change characteristics of the cross-correlation peak values between the rotation compo-nent,trend component and the original signal to establish noise discrimination criteria,accurately removing noise components to achieve frequency hopping signal reconstruction and signal-to-noise ratio improvement.The simulation results demonstrate the effectiveness of the algorithm,which can adapt to a signal-to-noise ratio of-1 dB while ensuring that the distortion of the reconstructed signal is less than 5％.The reconstructed signal can be improved by at least 9 dB.关键词
固有时间尺度分解/互相关/信噪比/失真度Key words
intrinsic time-scale decomposition/cross-correlation/SNR/distortion分类
电子信息工程引用本文复制引用
胡洪..基于固有时间尺度分解的跳频信号降噪算法[J].集成电路与嵌入式系统,2025,25(3):47-53,7.
