Title :
Blind beamforming and maximum ratio combining by kurtosis maximization for source separation in multipath
Author :
Chi, Chong-Yung ; Chen, Ching-Yung
Author_Institution :
Dept. of Electr. Eng., Nat. Tsing Hua Univ., Hsinchu, Taiwan
Abstract :
Ding and Nguyen´s (2000) kurtosis maximization algorithm (KMA) for blind signal separation and antenna beamforming assumes the absence of multipath channels. This paper proposes a multistage source separation (MSS) algorithm assuming that source signals are independent identically distributed (iid) non-Gaussian and received in the presence of multiple paths (as practically happens in wireless communications). The proposed MSS algorithm includes extraction and blind maximum ratio combing (BMRC) of a source signal from different paths using a fast KMA (FKMA), besides signal classification, time delay estimation, and cancellation of the contribution of the extracted source signal from the received signal at each stage. The proposed MSS algorithm with no need of prior information about the array configuration and direction of arrival (DOA) is supported through computer simulation
Keywords :
array signal processing; delay estimation; mobile radio; multipath channels; optimisation; probability; signal classification; antenna beamforming; blind maximum ratio combing; blind signal separation; iid non-Gaussian signals; independent identically distributed signals; kurtosis maximization algorithm; multipath channels; multistage source separation; signal classification; time delay estimation; wireless communications; Array signal processing; Blind source separation; Data mining; Delay effects; Delay estimation; Direction of arrival estimation; Multipath channels; Pattern classification; Source separation; Wireless communication;
Conference_Titel :
Wireless Communications, 2001. (SPAWC '01). 2001 IEEE Third Workshop on Signal Processing Advances in
Conference_Location :
Taiwan
Print_ISBN :
0-7803-6720-0
DOI :
10.1109/SPAWC.2001.923893