DocumentCode :
2556417
Title :
An Adaptive Feedback Interference Cancelling Algorithm Based on Independent Component Analysis for Wireless Repeaters
Author :
Yuan, JiangNan ; Shi, JiangHong ; Tang, Biyu ; Chen, Huihuang
Author_Institution :
Sch. of Inf. Sci. & Technol., Xiamen Univ., Xiamen, China
fYear :
2010
fDate :
23-25 Sept. 2010
Firstpage :
1
Lastpage :
4
Abstract :
In this paper, we propose a modified algorithm based on complex ICA (independent component analysis) for cancelling the feedback interference in the WCDMA repeater under time-varying multi-path channels. The proposed algorithm made use of Non-Gaussian distribution character of the signals and separated feedback from received signals by estimating feedback path adaptively in the frame work of ICA. The algorithm was evaluated through computer simulation by being applied to the feedback cancelling filter of the WCDMA repeater. The simulation results demonstrated that the proposed one is superior to the conventional LMS algorithm in terms of the cancelling performance.
Keywords :
Gaussian distribution; broadband networks; code division multiple access; estimation theory; feedback; filtering theory; independent component analysis; interference suppression; least mean squares methods; multipath channels; radio repeaters; time-varying channels; WCDMA repeater; adaptive feedback interference cancelling algorithm; cancelling performance; complex ICA; computer simulation; conventional LMS algorithm; estimating feedback path; feedback cancelling filter; independent component analysis; modified algorithm; non-Gaussian distribution character; received signals; separated feedback; time-varying multipath channels; wireless repeaters; Algorithm design and analysis; Independent component analysis; Interference; Least squares approximation; Multiaccess communication; Repeaters; Wireless communication;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Wireless Communications Networking and Mobile Computing (WiCOM), 2010 6th International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-3708-5
Electronic_ISBN :
978-1-4244-3709-2
Type :
conf
DOI :
10.1109/WICOM.2010.5600774
Filename :
5600774
Link To Document :
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