DS/CDMA linear receiver based on Krylov-proportionate adaptive filtering technique - An extension to complex-valued signals

研究成果: Conference contribution

3 被引用数 (Scopus)

抄録

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 'sparsity' 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.

本文言語English
ホスト出版物のタイトルProceedings of the 2008 IEEE Workshop on Machine Learning for Signal Processing, MLSP 2008
ページ169-174
ページ数6
DOI
出版ステータスPublished - 2008 12 1
外部発表はい
イベント2008 IEEE Workshop on Machine Learning for Signal Processing, MLSP 2008 - Cancun, Mexico
継続期間: 2008 10 162008 10 19

出版物シリーズ

名前Proceedings of the 2008 IEEE Workshop on Machine Learning for Signal Processing, MLSP 2008

Other

Other2008 IEEE Workshop on Machine Learning for Signal Processing, MLSP 2008
国/地域Mexico
CityCancun
Period08/10/1608/10/19

ASJC Scopus subject areas

  • 人工知能
  • ソフトウェア
  • 電子工学および電気工学

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