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

作　　者：胡洪 HU Hong(Southwest China Institute of Electronic Technology,Chengdu 610036,China)

机构地区：[1]中国西南电子技术研究所,成都610036

出　　处：《集成电路与嵌入式系统》2025年第3期47-53,共7页Integrated Circuits and Embedded Systems

摘　　要：针对跳频信号信噪比较低、不易分析和难重构等问题,提出了一种新的基于固有时间尺度分解的跳频信号降噪算法。算法以固有时间尺度分解为核心,利用分解处理得到旋转分量、趋势分量与原信号的互相关峰值的突变特性建立噪声判别准则,准确剔除噪声分量实现跳频信号重构和信噪比提升。仿真结果证明了本算法的有效性,在保证重构信号失真度低于5%时,算法可以适应到信噪比为-1dB,重构后信号至少能提高9dB。A new denoising algorithm for frequency hopping signals based on intrinsic time-scale decomposition(ITD)is proposed to address 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 component,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 

分 类 号：TN802[电子电信—信息与通信工程] TN911