A new blind equalization scheme for QAM systems based on fractionally-spaced equalizer

被引：0

作者：

Liu, Shun-Lan ^{[1
]}

Dai, Ming-Zeng ^{[2
]}

机构：

[1] Hangzhou Dianzi Univ, Sch Commun Engn, Hangzhou 310018, Zhejiang, Peoples R China

[2] Natl Lab Informat Control Technol Commun Syst, Jiaxing 314033, Zhejiang, Peoples R China

来源：

2007 INTERNATIONAL CONFERENCE ON COMMUNICATIONS, CIRCUITS AND SYSTEMS PROCEEDINGS, VOLS 1 AND 2: VOL 1: COMMUNICATION THEORY AND SYSTEMS; VOL 2: SIGNAL PROCESSING, COMPUTATIONAL INTELLIGENCE, CIRCUITS AND SYSTEMS | 2007年

关键词：

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

A new blind equalization scheme is proposed based on fractionally-spaced equalizer, which referred to concurrent modified square contour algorithm (MSCA) and a novel soft decision-directed (SDD) adaptation. This proposed blind equalization scheme (MSCA+SDD) may be viewed as operating a MSCA fractionally-spaced equalizer which provides good steady-state equalization performance and global convergence and a SDD fractionally-spaced equalizer which helps to accelerate convergence and reduce inter-symbol interference concurrently. Simulation using a fractionally-spaced equalizer for a practical microwave channel is evaluated to compare the proposed algorithm with the MSCA and SCA. Theoretical analysis and simulation results demonstrate that MSCA+SDD using fractionally-spaced equalizer improves equalization performance by increasing the convergence speed and decreasing the residual inter-symbol interference.

引用

页码：850 / +

页数：2

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