DocumentCode :
311299
Title :
A refined class of cost functions in blind equalization
Author :
Shtrom, Victor ; Fan, H.Howard
Author_Institution :
ARGOSystems Inc., Sunnyvale, CA, USA
Volume :
3
fYear :
1997
fDate :
21-24 Apr 1997
Firstpage :
2273
Abstract :
The use of gradient descent recursive algorithms in blind adaptive equalization requires a cost function with a unique minimum such that the FIR equalizer setup removes sufficient intersymbol interference (ISI). A cost function based on minimizing the difference between the second and the fourth norms of the joint channel-equalizer impulse response, each raised to the fourth power, i.e., ||·||24-||·||4 4 is proposed. An implementable recursive on-line algorithm using the above cost function is also derived for QAM inputs. A sizable array of examples shows that the above class is unimodal in equalizer weights. Extensive simulations show that the performance of the newly proposed algorithms is comparable to the CMA algorithms´ performance without the misconvergences
Keywords :
adaptive equalisers; intersymbol interference; quadrature amplitude modulation; recursive estimation; telecommunication channels; transient response; CMA algorithms; FIR equalizer; ISI; QAM inputs; blind adaptive equalization; cost functions; equalizer weights; fourth norm; gradient descent recursive algorithms; intersymbol interference; joint channel equalizer impulse response; performance; recursive online algorithm; second norm; simulations; unimodal class; Adaptive algorithm; Adaptive equalizers; Blind equalizers; Convergence; Cost function; Delay; Finite impulse response filter; Intersymbol interference; Quadrature amplitude modulation; Statistics;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1997. ICASSP-97., 1997 IEEE International Conference on
Conference_Location :
Munich
ISSN :
1520-6149
Print_ISBN :
0-8186-7919-0
Type :
conf
DOI :
10.1109/ICASSP.1997.599505
Filename :
599505
Link To Document :
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