DocumentCode :
1787035
Title :
Blind channel estimation based TLS algorithm in fully connected network with two signal sources
Author :
Foroushi, Zohre ; TabatabaVakili, Vahid
Author_Institution :
Dept. of Electr. Eng., Iran Univ. of Sci. & Technol., Tehran, Iran
fYear :
2014
fDate :
9-11 Sept. 2014
Firstpage :
375
Lastpage :
378
Abstract :
Blind channel estimation for dereverberation is noticed in most applications such as, blind source separation, communication and etc. The important challenge in this application is convolutive mixtures in a reverberant acoustic environment. In this paper, a MIMO system that has 2 input signals will be converted into 2 SIMO systems and their spatial interference will be separated. A tree structure is chosen from fully connected network and one virtual node is added to this network at signal source 1. The equations of 2 SIMO systems are merged and a linear equation is obtained from them. This equation is solved by TLS estimation and channel coefficients are obtained iteratively. We have provided MC simulation that demonstrates the effectiveness of the algorithm.
Keywords :
MIMO communication; acoustic communication (telecommunication); acoustic signal processing; channel estimation; interference (signal); least mean squares methods; MIMO system; SIMO systems; TLS algorithm; acoustic wireless sensor network; blind channel estimation; blind source separation; reverberant acoustic environment; signal source; spatial interference; total least squares estimation; Channel estimation; Equations; Estimation; MIMO; Mathematical model; Signal processing algorithms; Vectors; TLS; blind channel estimation; sensor network;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Telecommunications (IST), 2014 7th International Symposium on
Conference_Location :
Tehran
Print_ISBN :
978-1-4799-5358-5
Type :
conf
DOI :
10.1109/ISTEL.2014.7000732
Filename :
7000732
Link To Document :
بازگشت