The Improvement of Blind Adaptive Gradient Algorithms for Multiuser Detection in DS/CDMA Systems

HU Yan-jun; ZHU Huai-Song; ZHU Jin-kang

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The Improvement of Blind Adaptive Gradient Algorithms for Multiuser Detection in DS/CDMA Systems

更新时间：2025-07-16

- The Improvement of Blind Adaptive Gradient Algorithms for Multiuser Detection in DS/CDMA Systems
- Acta Electronica Sinica Vol. 30, Issue 5, Pages: 719-722(2002)
- 作者机构：
  
  1. 中国科学技术大学个人通信与扩频实验室,安徽,合肥,230027
  2. 安徽大学电子工程与信息科学系,安徽,合肥,230039
  3. 中国科学技术大学个人通信与扩频实验室安徽合肥,230027
  4. 安徽大学电子工程与信息科学系安徽合肥,230039
- 作者简介：
- 基金信息：
- DOI：
  CLC： TN914.53
- Published：2002
- 稿件说明：
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HU Yan-jun, ZHU Huai-Song, ZHU Jin-kang. The Improvement of Blind Adaptive Gradient Algorithms for Multiuser Detection in DS/CDMA Systems[J]. Acta Electronica Sinica, 2002, 30(5): 719-722.
DOI：

HU Yan-jun, ZHU Huai-Song, ZHU Jin-kang. The Improvement of Blind Adaptive Gradient Algorithms for Multiuser Detection in DS/CDMA Systems[J]. Acta Electronica Sinica, 2002, 30(5): 719-722. DOI：

摘要

本文在直接序列/码分多址(DS/CDMA)系统盲检测自适应梯度算法(BAG)的基础上

提出了一种多用户检测盲自适应梯度算法的改进算法(IBAG).BAG算法包括自适应梯度算法(TBAG)和时变自适应梯度算法(TIBAG)

TBAG算法的跟踪特性较好

但起始收敛特性不好;TIBAG算法的收敛特性较好

但跟踪特性较差

几乎不具备跟踪能力.本改进算法结合了这两种自适应梯度算法的优点

在不增加算法复杂度的前提下

使其收敛性和跟踪特性较BAG算法有所提高.

Abstract

In this paper

based on blind adaptive gradient algorithm (BAG) for multiuser detection

an improved blind adaptive gradient algorithm (IBAG) for code-aided suppression of multiple-access interference (MAI) and narrow-band interference (NBI) in direct-sequence code-division multiple-access system is proposed.The blind adaptive gradient algorithm (BAG) has two types:tracking blind adaptive gradient algorithm (TBAG)

which has the tracking ability

and time-invariant blind adaptive gradient algorithm (TIBAG)

which is applied in time-invariant circumstances.TIBAG has good constringency but no tracking ability

while TBAG has good tracking ability but its SIR rises slowly at beginning.so

IBAG modifies TIBAG to make its SIR riss more quickly and to keep its tracking abilty as time goes on.The simulation results show that the IBAG has the similar computational complexity to BAG

but the tracking ability and convergence performance of the IBAG is much better than the BAG.

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Song Guowen 2

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Related Institution

Institute of Information Science and Engineering,Henan University of Technology

Institute of Communication Engineering,Nanjing University of Posts and Telecommunications

Institute of Information Science and EngineeringHenan University of TechnologyZhengzhouHenan 450052China

Institute of Communication EngineeringNanjing University of Posts and TelecommunicationsNanjingJiangsu 210003China

安徽大学电子学院通信工程系

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