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基于负熵最大化盲抽取的雷达信号分选研究
引用本文:周刚,韦忠义.基于负熵最大化盲抽取的雷达信号分选研究[J].电讯技术,2007,47(4):174-177.
作者姓名:周刚  韦忠义
作者单位:解放军95965部队,河北,故城,253801
摘    要:研究了盲源分离算法在雷达信号分选中的应用,用基于负熵最大化的盲抽取算法对实际环境下的雷达信号进行分选,仿真结果表明,该方法能够有效地应用于多路雷达信号的分选,能抗突发脉冲干扰及完成降噪处理,并且易于实现,收敛速度快.

关 键 词:雷达信号分选  抽取算法  最大化  负熵  分离算法  仿真结果  降噪处理  脉冲干扰
文章编号:1001-893X(2007)04-0174-04
收稿时间:2007/5/12 0:00:00
修稿时间:2007-05-122007-07-30

Radar Signal Sorting Based on Negentropy-Maximization Blind Source Extraction Algorithm
ZHOU Gang,WEI Zhong-yi.Radar Signal Sorting Based on Negentropy-Maximization Blind Source Extraction Algorithm[J].Telecommunication Engineering,2007,47(4):174-177.
Authors:ZHOU Gang  WEI Zhong-yi
Affiliation:Unit 95965 of PLA, Gucheng 253801, China
Abstract:The application of blind source separation algorithm in radar sorting if investigated. Inthe simulations, bind source extraction based on negentropy - maximization is used to sort radar signals inactual environments. The result shows that this method canbe applied in sorting of multi - way radar signals polluted by noise and jamming, and has anti - burst - pulse jamming ability and can also remove noise. Simulations also prove the algorithm is simple to be implemented and has fast convergent speed.
Keywords:radar signal sorting  negentropy - maximization  blind source extraction algorithm
本文献已被 CNKI 维普 万方数据 等数据库收录!
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