DocumentCode :
3528684
Title :
DS/CDMA linear receiver based on Krylov-proportionate adaptive filtering technique—an extension to complex-valued signals
Author :
Yukawa, Masahiro
Author_Institution :
Brain Sci. Inst., RIKEN, Wako
fYear :
2008
fDate :
16-19 Oct. 2008
Firstpage :
169
Lastpage :
174
Abstract :
This paper presents a novel training-based adaptive linear receiver to suppress the multiple access interference, which has been one of the central issues in DS/CDMA wireless communication systems. The proposed receiver is derived by extending the Krylov-proportionate normalized least-mean-square (KPNLMS) algorithm to complex-valued signals. The key idea of KPNLMS is (a) sparse representation of the minimum mean square error (MMSE) receiver based on a certain Krylov subspace, (b) use of the dasiasparsitypsila for fast convergence, and (c) simplification to keep linear complexity per iteration. To clarify the convergence properties of the proposed receiver, its derivation from the variable-metric version of the adaptive projected subgradient method (V-APSM) is presented. The simulation results demonstrate the efficacy of the proposed receiver.
Keywords :
adaptive filters; code division multiple access; least mean squares methods; spread spectrum communication; DS-CDMA linear receiver; Krylov-proportionate adaptive filtering technique; adaptive projected subgradient method; complex-valued signals; least-mean-square algorithm; minimum mean square error receiver; multiple access interference; training-based adaptive linear receiver; variable-metric version; wireless communication systems; Adaptive filters; Algorithm design and analysis; Computational complexity; Convergence; Filtering algorithms; Frequency; Mean square error methods; Multiaccess communication; Multiple access interference; Wireless communication; CDMA; Krylov subspace; adaptive filter; linear receiver;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Learning for Signal Processing, 2008. MLSP 2008. IEEE Workshop on
Conference_Location :
Cancun
ISSN :
1551-2541
Print_ISBN :
978-1-4244-2375-0
Electronic_ISBN :
1551-2541
Type :
conf
DOI :
10.1109/MLSP.2008.4685474
Filename :
4685474
Link To Document :
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