Blind Deconvolution Algorithm For MIMO Channel

被引：0
|
作者：
Zhao Min [1 ]
He Zhaoshui [1 ]
Xie Shengli [1 ]
机构：
[1] S China Univ Technol, Sch Elect & Informat Engn, Guangzhou, Guangdong, Peoples R China
来源：
2008 INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND SECURITY, VOLS 1 AND 2, PROCEEDINGS | 2008年
关键词：
D O I：
10.1109/CIS.2008.136
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper presents a new frequency domain algorithm for blind deconvolution. Our frequency domain algorithm can overcome the difficulty appearing at the frequency bin and avoids the ambiguity of frequency coupling. Like other frequency domain algorithms, our algorithm needs not the identically distributed (iid) assumption of source signals. Our result shows that as long as observed signals are more one than source signals, the source signals can be separated from the observed mixtures. Therefore, the frequency domain algorithm proposed in this paper can be applied in wider field than previous algorithms. Finally, experiments demonstrate the performance of our algorithm.
引用
收藏
页码：470 / 474
页数：5
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