上海交通大学学报

上海交通大学学报 >

2018 , Vol. 52 >Issue 12: 1618 - 1626

DOI: https://doi.org/10.16183/j.cnki.jsjtu.2018.12.011

学报（中文）

基于变分模态分解算法的单通道无线电混合信号分离

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  • 1. 河北工业大学 控制科学与工程学院， 天津 300130; 2. 河北省控制工程研究中心， 天津 300130； 3. 石家庄信息工程职业学院 计算机应用系， 石家庄 050000
江春冬（1974-），女，吉林省镇赉县人，博士，讲师，主要从事信息检测与智能算法研究. 电话（Tel.）：022-60200005；E-mail: jchd@hebut.edu.cn.

基金资助

国家自然科学基金资助项目（51207042）

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Separation of Single Channel Radio Mixed Signal Based on Variational Mode Decomposition

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  • 1. School of Control Science and Engineering, Hebei University of Technology, Tianjin 300130, China; 2. Control Engineering Research Center of Hebei, Tianjin 300130, China; 3. Department of Computer Application, Shijiazhuang Information Engineering Vocational College, Shijiazhuang 050000, China
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摘要

针对复杂电磁环境下单通道无线电混合信号分离困难及分离精度不高的问题，提出2次使用变分模态分解(VMD)算法对单通道无线电混合信号进行分离的方法.首先利用VMD算法对单通道无线电混合信号进行粗分离，并将VMD算法与总体平均经验模态分解(EEMD)算法进行对比，得出前者分离出的信号在时域、频域及信噪比和相似系数等方面均比后者取得的对应结果效果好的结论.然后对VMD算法的参数利用改进的量子粒子群优化算法进行优化，确定所需分量个数和惩罚因子的值.最后对VMD算法分离后的信号使用参数优化后的VMD算法进行细分离.数值模拟和实验信号分析结果均表明，再次分离后所得到的信号精度较利用VMD算法对单通道无线电混合信号进行粗分离时更高，证明了所提算法对单通道无线电混合信号分离的有效性.

关键词： 变分模态分解; 总体平均经验模态分解; 改进的量子粒子群优化

本文引用格式

江春冬1,2，王景玉1，杜太行1,2，郝静1,3，龙超1 . 基于变分模态分解算法的单通道无线电混合信号分离[J]. 上海交通大学学报, 2018 , 52(12) : 1618 -1626 . DOI: 10.16183/j.cnki.jsjtu.2018.12.011

Abstract

Aiming at the separating difficulty of single channel radio mixed signal and low accuracy of its separation under complex electromagnetic environment, a separating method of single channel radio mixed signal by using twice variational mode decomposition (VMD) algorithm is proposed. Firstly, the VMD algorithm is used to roughly separate single channel radio mixed signal for the first time. And the VMD algorithm is compared with the ensemble empirical mode decomposition (EEMD) algorithm. The results show that the separated signals by the former are better in the time domain, frequency domain, signal to noise ratio and similarity coefficient than those obtained by the latter. Then, the parameters of variational mode decomposition algorithm are optimized by using the improved quantum particle swarm optimization algorithm, thus the number of components and the value of penalty factor are determined. And then, the optimized parameters of VMD algorithm are used to fine separated signals from VMD algorithm. The numerical simulation results and the experimental signal analysis results show that the signal accuracy of the second separation is higher than the first one. And it is proved that the proposed algorithm is valid for separating the single channel radio mixed signal.

Key words： variational mode decomposition (VMD); ensemble empirical mode decomposition (EEMD); improved quantum particle swarm optimization algorithm

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