Paper Title:
Multi-User Detection of DS-CDMA Based on Improved-FastICA
  Abstract

Multi-user detection (MUD) is used to control multiple access interference (MAI) and promote system performance and capacity, which is one of the key technology for CDMA system. Independent component analysis (ICA) aims to recover a set of unknown mutually independent source signals from theirs observed mixtures without knowledge of the mixing coefficients. FastICA, one of the ICA methods, has been successfully applied in various fields. But the classical FastICA does not converge quickly. In multi-user detection of direct sequence code division multiple access (DS-CDMA) system, we proposes an Improved-FastICA algorithm to reduce multiple access interference (MAI). The improved-FastICA algorithm uses a new Fifth-order Newton iterative method to estimate the negentropy. The experimental results show that the improved algorithm has the advantages of smaller bit error rate than traditional algorithm. The Improved-FastICA is more suitable for applications in DS-CDMA system.

  Info
Periodical
Chapter
Chapter 3: Sensor, Test and Signal Processing
Edited by
Zhixiang Hou
Pages
633-636
DOI
10.4028/www.scientific.net/AMM.128-129.633
Citation
X. Z. Liu, D. W. Feng, T. S. Zhang, "Multi-User Detection of DS-CDMA Based on Improved-FastICA", Applied Mechanics and Materials, Vols. 128-129, pp. 633-636, 2012
Online since
October 2011
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Price
$32.00
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