DocumentCode
1999798
Title
Blind Deconvolution Algorithm for MIMO Channel
Author
Min Zhao ; Zhaoshui He ; Shengli Xie
Author_Institution
Sch. of Electron. & Inf. Eng., South China Univ. of Technol., Guangzhou, China
Volume
1
fYear
2008
fDate
13-17 Dec. 2008
Firstpage
470
Lastpage
474
Abstract
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.
Keywords
MIMO communication; blind source separation; deconvolution; frequency-domain analysis; wireless channels; MIMO channel; blind deconvolution algorithm; frequency coupling; frequency domain algorithm; identically distributed assumption; Blind source separation; Computational intelligence; Convolution; Deconvolution; Eigenvalues and eigenfunctions; Frequency domain analysis; Information security; MIMO; Signal processing; Signal processing algorithms; blind signal separation; deconvolution; mimo;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence and Security, 2008. CIS '08. International Conference on
Conference_Location
Suzhou
Print_ISBN
978-0-7695-3508-1
Type
conf
DOI
10.1109/CIS.2008.136
Filename
4724695
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