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
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