Separation algorithm of paired carrier multiple access based on independent component analysis

WAN Jian; XU Hua; ZHU Zhong-liang

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Separation algorithm of paired carrier multiple access based on independent component analysis

更新时间：2024-10-14

- Separation algorithm of paired carrier multiple access based on independent component analysis
- Issue 8, Pages: 41-44(2006)
- 作者机构：
  
  1. 信号盲处理国防科技重点实验室
  2. 信号盲处理国防科技重点实验室,四川,成都,610041
- 作者简介：
- 基金信息：
- DOI：
  CLC： V443.1
- Published：2006
- 稿件说明：
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WAN Jian, XU Hua, ZHU Zhong-liang. Separation algorithm of paired carrier multiple access based on independent component analysis[J]. 2006, (8): 41-44.
DOI：

WAN Jian, XU Hua, ZHU Zhong-liang. Separation algorithm of paired carrier multiple access based on independent component analysis[J]. 2006, (8): 41-44. DOI：

摘要

在介绍卫星新技术——PCMA(成对载波多址)技术的基础上

提出了基于ICA(独立分量分析)的新算法用来分离卫星PCMA的下行混合信号。这种基于负熵最大准则的新算法较好地克服了以往算法中的缺陷:PCMA的两个上行信号功率不能相差太大。经过计算机仿真证明了新算法的有效性。

Abstract

Based on the introduction of paired carrier multiple access（PCMA）technology

a new algorithm was proposed to separate the satellite PCMA downlink mixed signals with independent component analysis（ICA）.The new algorithm utilized maximum negentropy as the separating criterion which could overcome the limitation that the power of two up-link signals could not be different too much.The computer simulations testified the validity of the algorithm.

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