Journal of Beijing University of Posts and Telecommunications

  • EI核心期刊

JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM ›› 2012, Vol. 35 ›› Issue (3): 83-86.doi: 10.13190/jbupt.201203.83.shiw

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A New Adaptive Equalization Aimed at the Inter-Symbol-Interference Based on New Quasi-Newton Algorithm

SHI Wei   

  1. 1School of Aeronautics and Astranautics, Central South University, Changsha 410083, China;
    2Powder Metallurgy Research Institute, Central South University, Changsha 410083, China
  • Received:2011-03-01 Revised:2011-10-14 Online:2012-06-28 Published:2012-02-29
  • Contact: Wei SHI E-mail:ahshw@sina.com

Abstract:

Solving the problem of algorithm in modern communication channel, a new method of quasiNewton least mean square adaptive equalization is proposed. By replacing inverse matrix calculation of LMS/Newton correlation function by symmetric positive-definite Hesse matrix, the proposed algorithm reduces the influence of traditional autocorrelation matrix estimate error for the algorithm convergence. Equalization simulation shows that higher convergence speed and lower bit error rate are obtained.

Key words: least mean square algorithm, new quasi-Newton algorithm, adaptive equalization, bit error rate

CLC Number: