摘要
本文针对盲信号分离中,如何根据信号特征进行有序提取的问题进行了探讨,提出了一种基于遗传算法的有序盲信号提取算法.该方法能够确保源信号按照四阶累计量的绝对值降序提取,解决了目前一些基于梯度的提取算法容易陷入局部极值而不能保证有序提取的问题;另外,在信号提取的消源过程中,我们还提出了一种基于Schmidt正交化的消源去相关算法,该方法不仅简化了Cichocki-Thawonmas-Amari(1997)消源算法的复杂计算,同时还对消源后的混叠信号进行了白化.仿真结果表明,该算法能够保证实现盲信号的有序提取.
We have discussed about how to extract signal in older according to signals'character in this paper, which is an important problem in the subject of blind separation. A sequential blind signal extraction algorithm in order based on genetic algorithm is proposed, which can ensure extraction of source signals accroding to the order of absolute kurtosis of signals, it avoid the problem that many algorithms based on gradient descent approach get into part extremum easily. Moreover, a deflation algorithm based on Schmidt orthogonal is proposed, which not only simplify the computation of the deflation algorithm in Cichocki- Thawomnas-Amari( 1997), but also whiten the mixed signals in the same time. Simulation results show that the algorithm can ensure the extraction of signals in order.
出处
《电子学报》
EI
CAS
CSCD
北大核心
2004年第4期616-619,共4页
Acta Electronica Sinica
基金
国家杰出青年科学基金(No.60325310)
国家自然科学基金(No.60274006)
广东省自然科学重点基金(No.020826)
教育部重点科研基金(No.02152)
教育部跨世纪优秀人才基金资助项目
