Low Complexity Shalvi-Weinstein Algorithm

Blind equalization can effectively reduce the intersymbol interference introduced by the frequency selective channel in the absence of the training sequence. The Shalvi-Weinstein Algorithm (SWA) performs better under most channels, especially for highly distorted ones compared with constant modulus...

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Bibliographic Details
Published in:Wireless personal communications Vol. 120; no. 4; pp. 3265 - 3275
Main Authors: Sun, Yongjun, Zhang, Liaoping, Jia, Cuiyuan, Liu, Zujun
Format: Journal Article
Language:English
Published: New York Springer US 01.10.2021
Springer Nature B.V
Subjects:
Algorithms
Communications Engineering
Complexity
Computation
Computer Communication Networks
Engineering
Equalization
Networks
Signal,Image and Speech Processing
RLS
Low complexity
SWA
Blind equalization
Decision-directed
ISSN:0929-6212, 1572-834X
Online Access:Get full text
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Summary:Blind equalization can effectively reduce the intersymbol interference introduced by the frequency selective channel in the absence of the training sequence. The Shalvi-Weinstein Algorithm (SWA) performs better under most channels, especially for highly distorted ones compared with constant modulus algorithm (CMA) or its modified versions. The disadvantage of the SWA is the high complexity resulting from the computation of the inverse matrix. A low complexity SWA based on dichotomous coordinate descent algorithm is proposed in the paper, whose computation complexity is on the same order of magnitude as the CMA. Besides the low complexity, the proposed algorithm also avoids the possible numerical error resulting from the computation of the matrix inversion. Moreover, a low complexity of decision directed algorithm based on RLS is presented for a dual mode blind equalization. Simulations verify the effectiveness of the algorithm.
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ISSN:0929-6212
1572-834X
DOI:10.1007/s11277-021-08612-y