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
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