A Widely Linear Affine LMS Adaptive Algorithm with Momentum Acceleration for DS-CDMA MAI Suppression

A widely linear (WL) affine least mean square (LMS) algorithm with momentum (WL AM-LMS) is proposed to improve the performance of the linear minimum mean squared error (MMSE) multiuser receivers in this paper. The new algorithm is derived from the conventional LMS algorithm by adding affine term and...

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Bibliographic Details
Published inCIS 2017 : proceedings, 13th International Conference on Computational Intelligence and Security : 15-18 December 2017, Hong Kong pp. 363 - 366
Main Authors Zhou, Yuanjian, Yang, Xiaohui
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.12.2017
Subjects
Adaptive algorithms
afiine
Convergence
DS-CDMA
Interference
MAI suppression
Mathematical model
momentum
Multiaccess communication
Receivers
Signal processing algorithms
Stability analysis
widely linear processing
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DOI10.1109/CIS.2017.00085

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Summary:A widely linear (WL) affine least mean square (LMS) algorithm with momentum (WL AM-LMS) is proposed to improve the performance of the linear minimum mean squared error (MMSE) multiuser receivers in this paper. The new algorithm is derived from the conventional LMS algorithm by adding affine term and momentum factor. The convergence and the stability region of the proposed algorithm in the mean are analyzed and given out respectively. The performance of the new algorithm applying to direct-sequence code division multiple access (DS-CDMA) multiple access interference (MAI) suppression is investigated by simulation in MATLAB. The experimental results show the effectiveness of the algorithm.
DOI:10.1109/CIS.2017.00085