首页|基于模态分解与主成分提取的模拟话音信号杂波消除方法

基于模态分解与主成分提取的模拟话音信号杂波消除方法

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模拟话音通信系统以其设备可靠性高、技术体制简单,在战场指挥中发挥了重要作用.针对电台话音采集设备以及环境设备噪声引起的模拟话音信号杂波,影响话音信号解调侦听的问题,通过模态分解剔除信号中的单音分量,并通过快速傅里叶变换(FFT)分解与重构进一步抑制噪声,实现了模拟话音信号的杂波消除,仿真实验表明该方法能够进一步提高解调话音质量.
A Method Eliminating the Clutter in Analog Voice Signals Based on Mode Decomposition and Principal Component Extraction
The analog voice communication system plays an important role in battlefield command due to its high equipment reliability and simple technology system.The analog voice signal clutter caused by noise from radio voice acquisition equipment and environmental equipment affects the demodulation and listening of voice signals.In view of the above problem,this paper uses mode de-composition to remove the single tone component in the signal,and uses decomposition and recon-struction of fast Fourier transform(FFT)to further suppress the noise,realizes the clutter elimi-nation of analog voice signals.Simulation experiments show that the method proposed in this paper can further improve the quality of demodulated voice.

empirical mode decompositionsignal decompositionclutter eliminationsignal process-ing

李星、张利强、盛兴、王志城、魏勋

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解放军63891部队,河南 洛阳 410073

经验模态分解 信号分解 杂波消除 信号处理

2024

舰船电子对抗
中国船舶重工集团公司第723研究所

舰船电子对抗

影响因子:0.213
ISSN:1673-9167
年,卷(期):2024.47(6)