A Support Vector Machine-Based Algorithm for Multi-user Detection

JIAO Li-cheng; QU Bing-yun; ZHOU Wei-da

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A Support Vector Machine-Based Algorithm for Multi-user Detection

更新时间：2025-07-16

- A Support Vector Machine-Based Algorithm for Multi-user Detection
- Acta Electronica Sinica Vol. 30, Issue 10, Pages: 1549-1551(2002)
- 作者机构：
  
  西安电子科技大学雷达信号处理国家重点实验室,西安,710071
- 作者简介：
- 基金信息：
- DOI：
  CLC： TN914.53
- Published：2002
- 稿件说明：
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JIAO Li-cheng, QU Bing-yun, ZHOU Wei-da. A Support Vector Machine-Based Algorithm for Multi-user Detection[J]. Acta Electronica Sinica, 2002, 30(10): 1549-1551.
DOI：

JIAO Li-cheng, QU Bing-yun, ZHOU Wei-da. A Support Vector Machine-Based Algorithm for Multi-user Detection[J]. Acta Electronica Sinica, 2002, 30(10): 1549-1551. DOI：

摘要

与现有的机器学习算法相比

在样本有限的情况下

支撑矢量机具有更强的分类推广能力.本文将支撑矢量机与多用户检测相结合

提出了一种新型的多用户检测算法.理论推导和仿真结果表明该算法的有效性.

Abstract

With limited samples

SVM has stronger ability of generalization in comparison with existing machine learning algorithm.In this paper

the SVM is combined with the multi-user detection

and a novel multi-user detection algorithm is proposed.It is shown that the method is effective in theoretical analysis and computer simulations.

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