An improved constant modulus algorithm and its generalized form for blind equalization

Wei Xing Zheng; Da-Zheng Feng; Zhu Pan; Jin Li

doi:10.1109/ISCAS51556.2021.9401456

An improved constant modulus algorithm and its generalized form for blind equalization

Wei Xing Zheng, Da-Zheng Feng, Zhu Pan, Jin Li

Western Sydney University

Research output: Chapter in Book / Conference Paper › Conference Paper › peer-review

4 Citations (Scopus)

Abstract

In wireless communication systems, the conventional constant modulus algorithm incurs artificial error and steady state misadjustment. In this study, an improved constant modulus algorithm (ICMA) and its generalized form are proposed for blind equalization. The ICMA utilizes the clustering function of Gaussian function to efficiently suppress this artificial error and steady state misadjustment at the cost of reduction in the sample usage rate. Moreover, the generalized form of the ICMA is developed to ensure the sample usage rate while the good performances of the ICMA are maintained. Simulation results illustrate better equalization performances of the ICMA and generalized ICMA, as compared to the classical constant modulus algorithm.

Original language	English
Title of host publication	Proceedings of 2021 IEEE International Symposium on Circuits and Systems (ISCAS), Daegu, Korea, May 22-28, 2021
Publisher	IEEE
Number of pages	5
ISBN (Print)	9781728192017
DOIs	https://doi.org/10.1109/ISCAS51556.2021.9401456
Publication status	Published - 2021
Event	IEEE International Symposium on Circuits and Systems - Duration: 22 May 2021 → …

Publication series

Name
ISSN (Print)	2158-1525

Conference

Conference	IEEE International Symposium on Circuits and Systems
Period	22/05/21 → …

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© 2021 IEEE

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10.1109/ISCAS51556.2021.9401456

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title = "An improved constant modulus algorithm and its generalized form for blind equalization",

abstract = "In wireless communication systems, the conventional constant modulus algorithm incurs artificial error and steady state misadjustment. In this study, an improved constant modulus algorithm (ICMA) and its generalized form are proposed for blind equalization. The ICMA utilizes the clustering function of Gaussian function to efficiently suppress this artificial error and steady state misadjustment at the cost of reduction in the sample usage rate. Moreover, the generalized form of the ICMA is developed to ensure the sample usage rate while the good performances of the ICMA are maintained. Simulation results illustrate better equalization performances of the ICMA and generalized ICMA, as compared to the classical constant modulus algorithm.",

author = "Zheng, {Wei Xing} and Da-Zheng Feng and Zhu Pan and Jin Li",

note = "Publisher Copyright: {\textcopyright} 2021 IEEE; IEEE International Symposium on Circuits and Systems ; Conference date: 22-05-2021",

year = "2021",

doi = "10.1109/ISCAS51556.2021.9401456",

language = "English",

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booktitle = "Proceedings of 2021 IEEE International Symposium on Circuits and Systems (ISCAS), Daegu, Korea, May 22-28, 2021",

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TY - GEN

T1 - An improved constant modulus algorithm and its generalized form for blind equalization

AU - Zheng, Wei Xing

AU - Feng, Da-Zheng

AU - Pan, Zhu

AU - Li, Jin

PY - 2021

Y1 - 2021

N2 - In wireless communication systems, the conventional constant modulus algorithm incurs artificial error and steady state misadjustment. In this study, an improved constant modulus algorithm (ICMA) and its generalized form are proposed for blind equalization. The ICMA utilizes the clustering function of Gaussian function to efficiently suppress this artificial error and steady state misadjustment at the cost of reduction in the sample usage rate. Moreover, the generalized form of the ICMA is developed to ensure the sample usage rate while the good performances of the ICMA are maintained. Simulation results illustrate better equalization performances of the ICMA and generalized ICMA, as compared to the classical constant modulus algorithm.

AB - In wireless communication systems, the conventional constant modulus algorithm incurs artificial error and steady state misadjustment. In this study, an improved constant modulus algorithm (ICMA) and its generalized form are proposed for blind equalization. The ICMA utilizes the clustering function of Gaussian function to efficiently suppress this artificial error and steady state misadjustment at the cost of reduction in the sample usage rate. Moreover, the generalized form of the ICMA is developed to ensure the sample usage rate while the good performances of the ICMA are maintained. Simulation results illustrate better equalization performances of the ICMA and generalized ICMA, as compared to the classical constant modulus algorithm.

UR - https://hdl.handle.net/1959.7/uws:75359

U2 - 10.1109/ISCAS51556.2021.9401456

DO - 10.1109/ISCAS51556.2021.9401456

M3 - Conference Paper

SN - 9781728192017

BT - Proceedings of 2021 IEEE International Symposium on Circuits and Systems (ISCAS), Daegu, Korea, May 22-28, 2021

PB - IEEE

T2 - IEEE International Symposium on Circuits and Systems

Y2 - 22 May 2021

ER -

An improved constant modulus algorithm and its generalized form for blind equalization

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