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The minimum mean-squared error (MMSE) linear detector has been proposed to successfully suppress the multiple access interference and mitigate the near-far problem in direct-sequence code-division multiple access communication systems. In the presence of unknown or time-varying channel parameters, the MMSE linear detector can be implemented by the blind Griffiths' algorithm, which uses the desired signal vector instead of a training sequence of symbols for initial adaptation. In this paper, a variable step-size (VSS) Griffiths' algorithm is proposed for accelerating the convergence speed, especially in the presence of strong interference. Numerical results show that the convergence properties of the VSS Griffiths' algorithm are robust against the wide eigenvalue-spread problem of the correlation matrix associated with the received signal vector compared to the Griffiths' algorithm using a fixed step-size.

- Publication
- IEICE TRANSACTIONS on Communications Vol.E82-B No.10 pp.1643-1650

- Publication Date
- 1999/10/25

- Publicized

- Online ISSN

- DOI

- Type of Manuscript
- PAPER

- Category
- Mobile Communication

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Ho-Chi HWANG, Che-Ho WEI, "Adaptive Variable Step-Size Griffiths' Algorithm for Blind Demodulation of DS/CDMA Signals" in IEICE TRANSACTIONS on Communications,
vol. E82-B, no. 10, pp. 1643-1650, October 1999, doi: .

Abstract: The minimum mean-squared error (MMSE) linear detector has been proposed to successfully suppress the multiple access interference and mitigate the near-far problem in direct-sequence code-division multiple access communication systems. In the presence of unknown or time-varying channel parameters, the MMSE linear detector can be implemented by the blind Griffiths' algorithm, which uses the desired signal vector instead of a training sequence of symbols for initial adaptation. In this paper, a variable step-size (VSS) Griffiths' algorithm is proposed for accelerating the convergence speed, especially in the presence of strong interference. Numerical results show that the convergence properties of the VSS Griffiths' algorithm are robust against the wide eigenvalue-spread problem of the correlation matrix associated with the received signal vector compared to the Griffiths' algorithm using a fixed step-size.

URL: https://global.ieice.org/en_transactions/communications/10.1587/e82-b_10_1643/_p

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@ARTICLE{e82-b_10_1643,

author={Ho-Chi HWANG, Che-Ho WEI, },

journal={IEICE TRANSACTIONS on Communications},

title={Adaptive Variable Step-Size Griffiths' Algorithm for Blind Demodulation of DS/CDMA Signals},

year={1999},

volume={E82-B},

number={10},

pages={1643-1650},

abstract={The minimum mean-squared error (MMSE) linear detector has been proposed to successfully suppress the multiple access interference and mitigate the near-far problem in direct-sequence code-division multiple access communication systems. In the presence of unknown or time-varying channel parameters, the MMSE linear detector can be implemented by the blind Griffiths' algorithm, which uses the desired signal vector instead of a training sequence of symbols for initial adaptation. In this paper, a variable step-size (VSS) Griffiths' algorithm is proposed for accelerating the convergence speed, especially in the presence of strong interference. Numerical results show that the convergence properties of the VSS Griffiths' algorithm are robust against the wide eigenvalue-spread problem of the correlation matrix associated with the received signal vector compared to the Griffiths' algorithm using a fixed step-size.},

keywords={},

doi={},

ISSN={},

month={October},}

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TY - JOUR

TI - Adaptive Variable Step-Size Griffiths' Algorithm for Blind Demodulation of DS/CDMA Signals

T2 - IEICE TRANSACTIONS on Communications

SP - 1643

EP - 1650

AU - Ho-Chi HWANG

AU - Che-Ho WEI

PY - 1999

DO -

JO - IEICE TRANSACTIONS on Communications

SN -

VL - E82-B

IS - 10

JA - IEICE TRANSACTIONS on Communications

Y1 - October 1999

AB - The minimum mean-squared error (MMSE) linear detector has been proposed to successfully suppress the multiple access interference and mitigate the near-far problem in direct-sequence code-division multiple access communication systems. In the presence of unknown or time-varying channel parameters, the MMSE linear detector can be implemented by the blind Griffiths' algorithm, which uses the desired signal vector instead of a training sequence of symbols for initial adaptation. In this paper, a variable step-size (VSS) Griffiths' algorithm is proposed for accelerating the convergence speed, especially in the presence of strong interference. Numerical results show that the convergence properties of the VSS Griffiths' algorithm are robust against the wide eigenvalue-spread problem of the correlation matrix associated with the received signal vector compared to the Griffiths' algorithm using a fixed step-size.

ER -