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

Masahiro Yukawa

doi:10.1109/MLSP.2008.4685474

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

Masahiro Yukawa

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

3 Citations (Scopus)

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 '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.

Original language	English
Title of host publication	Proceedings of the 2008 IEEE Workshop on Machine Learning for Signal Processing, MLSP 2008
Pages	169-174
Number of pages	6
DOIs	https://doi.org/10.1109/MLSP.2008.4685474
Publication status	Published - 2008 Dec 1
Externally published	Yes
Event	2008 IEEE Workshop on Machine Learning for Signal Processing, MLSP 2008 - Cancun, Mexico Duration: 2008 Oct 16 → 2008 Oct 19

Publication series

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

Other

Other	2008 IEEE Workshop on Machine Learning for Signal Processing, MLSP 2008
Country	Mexico
City	Cancun
Period	08/10/16 → 08/10/19

Keywords

Adaptive filter
CDMA
Krylov subspace
Linear receiver

ASJC Scopus subject areas

Artificial Intelligence
Software
Electrical and Electronic Engineering

Access to Document

10.1109/MLSP.2008.4685474

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Yukawa, M. (2008). DS/CDMA linear receiver based on Krylov-proportionate adaptive filtering technique - An extension to complex-valued signals. In Proceedings of the 2008 IEEE Workshop on Machine Learning for Signal Processing, MLSP 2008 (pp. 169-174). [4685474] (Proceedings of the 2008 IEEE Workshop on Machine Learning for Signal Processing, MLSP 2008). https://doi.org/10.1109/MLSP.2008.4685474

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

Proceedings of the 2008 IEEE Workshop on Machine Learning for Signal Processing, MLSP 2008. 2008. p. 169-174 4685474 (Proceedings of the 2008 IEEE Workshop on Machine Learning for Signal Processing, MLSP 2008).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Yukawa, M 2008, DS/CDMA linear receiver based on Krylov-proportionate adaptive filtering technique - An extension to complex-valued signals. in Proceedings of the 2008 IEEE Workshop on Machine Learning for Signal Processing, MLSP 2008., 4685474, Proceedings of the 2008 IEEE Workshop on Machine Learning for Signal Processing, MLSP 2008, pp. 169-174, 2008 IEEE Workshop on Machine Learning for Signal Processing, MLSP 2008, Cancun, Mexico, 08/10/16. https://doi.org/10.1109/MLSP.2008.4685474

Yukawa M. DS/CDMA linear receiver based on Krylov-proportionate adaptive filtering technique - An extension to complex-valued signals. In Proceedings of the 2008 IEEE Workshop on Machine Learning for Signal Processing, MLSP 2008. 2008. p. 169-174. 4685474. (Proceedings of the 2008 IEEE Workshop on Machine Learning for Signal Processing, MLSP 2008). https://doi.org/10.1109/MLSP.2008.4685474

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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 '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.",

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AB - 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.

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

Abstract

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Keywords

ASJC Scopus subject areas

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