DocumentCode :
2720158
Title :
A New Adaptive Steepest Descent RLS Multi-user Algorithm
Author :
Gao, Weiting ; Li, Hui ; Xing, Gang
Author_Institution :
Sch. of Electron. Inf., Northwestern Polytech. Univ., Xi´´an, China
fYear :
2012
fDate :
11-13 Aug. 2012
Firstpage :
1250
Lastpage :
1253
Abstract :
In order to solve problems as high error diffusion and instable convergence of Recursive Least Squares (RLS) algorithm in Code Division Multiple Access (CDMA), this paper combined local steepest drop characteristic of steepest descent algorithm presented a stable convergence and lower complexity algorithm -- D-RLS in condition of high multiple access interference (MAI) and intersymbol interference (ISI). New algorithm effectively reduce the diffusion of detection errors and ensure the local convergence in detection process, therefore achieve rapid global convergence to a desired user and improved dynamic tracking capability. The simulations shown that, new algorithm has better convergence property and dynamic stability than original RLS algorithm.
Keywords :
code division multiple access; convergence; gradient methods; intersymbol interference; least squares approximations; multiuser detection; CDMA; D-RLS algorithm; ISI; MAI; adaptive steepest descent RLS multiuser algorithm; code division multiple access; detection error diffusion process; dynamic stability; high error diffusion; high multiple access interference; improved dynamic tracking capability; intersymbol interference; local steepest drop characteristic; rapid global convergence; recursive least square algorithm; Convergence; Educational institutions; Heuristic algorithms; Multiaccess communication; Multiuser detection; Signal processing algorithms; Vectors; D-RLS; ISI; MAI; RLS;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Science & Service System (CSSS), 2012 International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4673-0721-5
Type :
conf
DOI :
10.1109/CSSS.2012.317
Filename :
6394555
Link To Document :
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