DocumentCode
1300436
Title
Normalized adaptive decision directed equalization
Author
Swindlehurst, A. Lee
Author_Institution
Dept. of Electr. & Comput. Eng., Brigham Young Univ., Provo, UT, USA
Volume
5
Issue
1
fYear
1998
Firstpage
18
Lastpage
20
Abstract
It has been observed that with appropriate stepsize normalization, the convergence speed of the constant modulus (CM) algorithm can be dramatically improved. It is shown that if a different normalization strategy is used, one that takes into account the finite alphabet structure of the signals, a standard normalized version of the decision directed equalizer (DDE) is achieved. A simulation example is included to demonstrate the faster convergence of the normalized DDE compared with its constant stepsize implementation and the normalized CM.
Keywords
adaptive equalisers; adaptive filters; adaptive signal processing; convergence of numerical methods; decision theory; filtering theory; least mean squares methods; LMS adaptive filter; QPSK signal; constant modulus algorithm; constant stepsize; convergence speed; finite alphabet structure; normalized adaptive decision directed equalization; normalized constant modulus; stepsize normalization; Adaptive equalizers; Adaptive filters; Blind equalizers; Constellation diagram; Convergence; Decision feedback equalizers; Error correction; Least squares approximation; Performance analysis;
fLanguage
English
Journal_Title
Signal Processing Letters, IEEE
Publisher
ieee
ISSN
1070-9908
Type
jour
DOI
10.1109/97.654869
Filename
654869
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