DocumentCode :
1322227
Title :
Quantization noise and eigenvalue statistics in the stochastic gradient polarity adjustment of an adaptive equalizer
Author :
Weaver, C.F. ; Taylor, D.P.
Author_Institution :
Raytheon Canada, Waterloo, Ont., Canada
Volume :
14
Issue :
2
fYear :
1989
Firstpage :
72
Lastpage :
80
Abstract :
An experimental adaptive decision feedback equalizer (DFE), with jointly adjusted sampling phase, and which employs a decision-directed stochastic gradient polarity (DDSGP) algorithm, is described. Measured performance with respect to odd-order multipath frequency response is found to be significantly worse than the calculated mean square error performance which does not include quantization noise and misadjustment noise. The discrepancy is predicted from a theorem of Gersho (1968), Gersho´s theorem predicts the excess noise due to the gradient polarity (GP) algorithm as a function of eigenvalue statistics, which are calculated as a function of multipath distortion.
Keywords :
adaptive systems; analogue-digital conversion; eigenvalues and eigenfunctions; equalisers; feedback; radiofrequency interference; Gersho theorem; adaptive decision feedback equalizer; decision directed algorithm; digital microwave radio; eigenvalue statistics; gradient polarity algorithm; mean square error performance; misadjustment noise; multipath distortion; odd-order multipath frequency response; quantization noise; sampling phase; stochastic gradient polarity adjustment; Decision feedback equalizers; Eigenvalues and eigenfunctions; Equations; Noise; Quantization (signal); Vectors;
fLanguage :
English
Journal_Title :
Electrical and Computer Engineering, Canadian Journal of
Publisher :
ieee
ISSN :
0840-8688
Type :
jour
DOI :
10.1109/CJECE.1989.6592707
Filename :
6592707
Link To Document :
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