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
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;
Conference_Titel :
Computational Intelligence and Security, 2008. CIS '08. International Conference on
Conference_Location :
Suzhou
Print_ISBN :
978-0-7695-3508-1
DOI :
10.1109/CIS.2008.136