Title :
Low complexity LMS based adaptive iterative receiver for CDMA systems
Author :
Teav Keovkolya ; Teekapavisit, Chakree
Author_Institution :
Dept. of Inf. Eng., KMITL, Bangkok, Thailand
Abstract :
An adaptive iterative frequency domain receiver for a Layered Space-Time Coded CDMA (LSTC-CDMA) system has been proposed in this paper. The proposed receiver, based on a joint adaptive iterative detection and decoding algorithm, adaptively cancels Co-Channel Interference (CCI) and mitigates Multiple Access Interference (MAI), and also has a significant reduction in computation complexity with the same performance compared to a time domain receiver. The Least Means Square (LMS) algorithm is used for both feed-forward filter and feedback filter in the adaptive detection. A Partially Filtered Gradient LMS (PFGLMS) algorithm is also proposed to improve the convergence speed of the adaptive detector. The performance results show that the proposed adaptive receiver can approach the interference-free single user performance for a certain range of the signal to noise ratio (SNR).
Keywords :
adaptive codes; code division multiple access; iterative decoding; least mean squares methods; receivers; space-time codes; adaptive iterative receiver; co-channel interference; feed-forward filter; feedback filter; frequency domain receiver; joint adaptive iterative detection and decoding algorithm; layered space-time coded CDMA system; least means square algorithm; low complexity LMS; multiple access interference; partially filtered gradient LMS algorithm; space time coding; Adaptive filters; Adaptive systems; Frequency domain analysis; Interference cancellation; Iterative algorithms; Iterative decoding; Least squares approximation; Multiaccess communication; Multiple access interference; Signal to noise ratio; Code Division Multiple Access; Frequency domain equalizer; Layered Space Time Coding; Least Mean Square; Partially Gradient LMS;
Conference_Titel :
ICCAS-SICE, 2009
Conference_Location :
Fukuoka
Print_ISBN :
978-4-907764-34-0
Electronic_ISBN :
978-4-907764-33-3