DocumentCode :
2136312
Title :
A weighted parallel interference cancellation detector for convolutionally coded CDMA systems
Author :
Joo, Weon Yong ; Yoon, Soon Young ; Lee, Hwang Soo
Author_Institution :
R&D Group, Korea Telecom, Seoul, South Korea
Volume :
2
fYear :
2000
fDate :
2000
Firstpage :
1100
Abstract :
A weighted parallel interference cancellation (PIC) detector with symbol-by-symbol weight determination is proposed for convolutionally coded code division multiple access (CDMA) systems. The proposed weighted PIC detector performs jointly post decoding PIC and weighted PIC. A soft-output Viterbi algorithm (SOVA) is employed as the decoder for the post-decoding PIC and generates the information bit log-likelihood ratio (LLR). The bit LLR is translated into symbol LLR, and the weight for weighted PIC is determined based on the statistical characteristics of the symbol LLR. Simulation results show that the proposed weighted PIC detector outperforms the weighted PIC detectors taking empirical weights under the interference-limited environments
Keywords :
Viterbi decoding; code division multiple access; convolutional codes; interference suppression; radiofrequency interference; signal detection; spread spectrum communication; statistical analysis; DS-CDMA; SOVA; bit LLR; code division multiple access; convolutionally coded CDMA systems; decoder; information bit log-likelihood ratio; interference-limited environments; post decoding PIC; post-decoding PIC; simulation results; soft-output Viterbi algorithm; statistical characteristics; symbol LLR; symbol-by-symbol weight determination; weighted PIC; weighted parallel interference cancellation detector; Convolution; Convolutional codes; Decoding; Detectors; Error probability; Interference cancellation; Multiaccess communication; Research and development; Signal generators; Telecommunications;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Vehicular Technology Conference Proceedings, 2000. VTC 2000-Spring Tokyo. 2000 IEEE 51st
Conference_Location :
Tokyo
ISSN :
1090-3038
Print_ISBN :
0-7803-5718-3
Type :
conf
DOI :
10.1109/VETECS.2000.851295
Filename :
851295
Link To Document :
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