DocumentCode
2042229
Title
On the Use of Joint Error-Norms Adaptive Algorithm in QPSK (DS-CDMA) System
Author
Jimaa, Shihab
Author_Institution
Emirates Telecommun. Corp., Etisalat Univ. Coll., Sharjah, United Arab Emirates
fYear
2007
fDate
24-27 Nov. 2007
Firstpage
472
Lastpage
475
Abstract
The concept of using joint error norms adaptive algorithm and the resulting least mean switched error (LMSE) algorithm in the adaptation process of the DFE receiver´s structures of asynchronous QPSK (DS-CDMA) is investigated. The performance measure is in-terms of bit error rate (BER) and mean square error (MSE) and for various step-sizes, over AWGN and Gaussian mixture type impulsive channels. The proposed algorithm consists of applying the Least Mean Fourth (LMF) algorithm and switching to the Least Mean Square (LMS) algorithm when the absolute value of error is greater than one. The MSE and BER performances of using the LMSE show that the optimum step-size for the LMF algorithm is 1Ã10-6 while for the NLMS is kept constant at 0.01. Also the performance of the proposed algorithm was examined against the standard NLMS algorithm and it provides fast convergence rate, lower ground noise floor, and similar BER.
Keywords
code division multiple access; error statistics; least mean squares methods; quadrature phase shift keying; spread spectrum communication; AWGN mixture type impulsive channels; BER; DS-CDMA system; Gaussian mixture type impulsive channels; asynchronous QPSK; bit error rate; joint error-norms adaptive algorithm; least mean switched error algorithm; mean square error method; AWGN; Adaptive algorithm; Additive white noise; Bit error rate; Convergence; Gaussian noise; Least squares approximation; Mean square error methods; Multiaccess communication; Quadrature phase shift keying; DS-CDMA; NLMS; adaptive algorithms; impulsive noise; signal processing;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing and Communications, 2007. ICSPC 2007. IEEE International Conference on
Conference_Location
Dubai
Print_ISBN
978-1-4244-1235-8
Electronic_ISBN
978-1-4244-1236-5
Type
conf
DOI
10.1109/ICSPC.2007.4728358
Filename
4728358
Link To Document