基于四阶累积量的稳健的通信信号盲分离算法

付卫红; 杨小牛; 刘乃安

doi:10.3724/SP.J.1146.2007.00133

基于四阶累积量的稳健的通信信号盲分离算法

doi: 10.3724/SP.J.1146.2007.00133

付卫红^{①;杨小牛},
杨小牛,
刘乃安

基金项目:

国家自然科学基金(60672038)资助课题

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出版历程
- 收稿日期: 2007-01-23
- 修回日期: 2007-09-17
- 刊出日期: 2008-08-19

Robust Algorithm for Communication Signal Blind Separation Fourth-Order-Cumulant-Based

摘要

摘要: 该文针对有噪环境中的通信信号盲分离问题，提出了一种在噪声环境下性能良好的盲分离算法，该算法将稳健的白化算法与四阶累积量矩阵的联合对角化相结合。仿真结果表明，该算法分离性能比一般的近似联合对角化(JAD)算法有很大改善，干信比可降低近10dB，而算法的运算量没有太多增加。
- 通信信号; 盲源分离; 四阶累积量; 稳健; 联合近似对角化
Abstract: Aiming at the problem of communication signal blind separation in the noisy circumstance, a Blind Source Separation(BSS)algorithm in the case of noise is presented which combined the robust whitening algorithm and Joint Approximate Diagonalization (JAD) of the fourth order cumulant matrix and has good separation performance. Simulation results show that the separation performance of the algorithm proposed in the paper is greatly improved upon the normal fourth order cumulant matrix JAD algorithm, and the Interference-Signal-Ratio (ISR) can be decreased 10dB without increasing much too computation quantity.

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