A Blind Equalizer Based on SRM Rule

doi:10.13190/jbupt.200804.6.019

JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM ›› 2008, Vol. 31 ›› Issue (4): 6-9.doi: 10.13190/jbupt.200804.6.019

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A Blind Equalizer Based on SRM Rule

SONG Heng1, LIN Xue-yuan1, WANG Hong-xing1, MA Shi-ping2

1. Department of Electronic Information Engineering, Naval Aeronautical and Astronautical University, Yantai 264001, China;
2. School of Engineering, Air Force Engineering University, Xi’an 710038, China

Received:2007-11-03 Revised:1900-01-01 Online:2008-08-30 Published:2008-08-30
Contact: SONG Heng

Abstract

Abstract:

A new blind equalizer based on structure risk minimum (SRM) rule is presented. According to the feature reconstruction of signals, the method constructs the time decorrelation cost function under SRM rule, and traces channel using static iterative learning algorithm. Simulation is carried out to compare it with least mean square-based blind equalizer (LMS-BE) and neural networks-based blind equalizer (NN-BE), and the results show the method has much better performance.

Key words: equalizer, blind equalization, structure risk minimum, feature reconstruction

CLC Number:

TN911

SONG Heng1, LIN Xue-yuan1, WANG Hong-xing1, MA Shi-ping2. A Blind Equalizer Based on SRM Rule[J]. JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM, 2008, 31(4): 6-9.

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A Blind Equalizer Based on SRM Rule

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