DocumentCode :
3208024
Title :
Blended CMA: smooth, adaptive transfer from CMA to DD-LMS
Author :
Litwin, L.R., Jr. ; Zoltowski, M.D. ; Endres, T.J. ; Hulyalkar, S.N.
Author_Institution :
Purdue Univ., West Lafayette, IN, USA
fYear :
1999
fDate :
1999
Firstpage :
797
Abstract :
A common technique in a blind equalization communication system is to use the constant modulus algorithm (CMA) to open the channel eye and then to switch to decision-directed LMS once the error rate has dropped to a sufficiently low level. The propose a new algorithm, blended CMA, which dynamically selects to use either the CMA or DD-LMS update term when adapting the equalizer taps. The decision rule governing this selection is also adaptive. Simulation results presented in this paper demonstrate how the algorithm performs when equalizing 64-QAM over real-world channels and highlights the performance gain over using traditional transfer methods
Keywords :
adaptive equalisers; blind equalisers; least mean squares methods; quadrature amplitude modulation; 64-QAM; DD-LMS; blended CMA; blind equalization communication system; channel eye; constant modulus algorithm; decision rule; decision-directed LMS; error rate; performance gain; real-world channels; smooth adaptive transfer; Blind equalizers; Communication switching; Decision feedback equalizers; Equations; Error analysis; Error correction; Least squares approximation; Performance gain; Stochastic processes; Switches;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Wireless Communications and Networking Conference, 1999. WCNC. 1999 IEEE
Conference_Location :
New Orleans, LA
ISSN :
1525-3511
Print_ISBN :
0-7803-5668-3
Type :
conf
DOI :
10.1109/WCNC.1999.796764
Filename :
796764
Link To Document :
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