DocumentCode :
3158252
Title :
Low-complexity variable forgetting factor mechanism for blind adaptive constrained constant modulus algorithms
Author :
Cai, Yunlong ; De Lamare, Rodrigo C. ; Zhao, Minjian ; Zhong, Jie
Author_Institution :
Dept. of ISEE, Zhejiang Univ., Hangzhou, China
fYear :
2012
fDate :
25-30 March 2012
Firstpage :
3293
Lastpage :
3296
Abstract :
In this work, we propose a low-complexity variable forgetting factor (VFF) mechanism for blind adaptive constrained constant modulus (CCM) recursive least square (RLS) algorithms applied to linear interference suppression in direct-sequence code division multiple access (DS-CDMA) systems. The proposed VFF mechanism employs an updated component relating to the time average of the constant modulus (CM) cost function to automatically adjust the forgetting factor in order to ensure good tracking of the interference and the channel. Analytical expressions for predicting the mean-squared error of the proposed adaptation technique are obtained. Simulation results show that the proposed VFF mechanism achieves superior performance to existing methods at a reduced complexity.
Keywords :
code division multiple access; interference suppression; least squares approximations; mean square error methods; radiofrequency interference; recursive estimation; spread spectrum communication; CM cost function; DS-CDMA systems; blind adaptive CCM RLS algorithm; blind adaptive constrained constant modulus recursive least square algorithm; channel tracking; complexity reduction; constant modulus cost function; direct-sequence code division multiple access systems; interference tracking; linear interference suppression; low-complexity VFF mechanism; low-complexity variable forgetting factor mechanism; mean squared error prediction; Algorithm design and analysis; Convergence; Interference; Multiaccess communication; Receivers; Steady-state; Vectors; Blind multiuser detection; adaptive filtering; variable forgetting factor mechanisms;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech and Signal Processing (ICASSP), 2012 IEEE International Conference on
Conference_Location :
Kyoto
ISSN :
1520-6149
Print_ISBN :
978-1-4673-0045-2
Electronic_ISBN :
1520-6149
Type :
conf
DOI :
10.1109/ICASSP.2012.6288619
Filename :
6288619
Link To Document :
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