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基于负熵最大化盲抽取的雷达信号分选研究 被引量:2

Radar Signal Sorting Based on Negentropy-Maximization Blind Source Extraction Algorithm
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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。 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.
作者 周刚 韦忠义
机构地区 解放军
出处 《电讯技术》 2007年第4期174-177,共4页 Telecommunication Engineering
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 radar signal sorting negentropy - maximization blind source extraction algorithm
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参考文献5

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同被引文献15

  • 1张希军,吴志真,雷勇.航空发动机试车中转子故障诊断[J].计算机测量与控制,2005,13(11):1182-1185. 被引量:21
  • 2宋晓萍,廖明夫.双转子航空发动机振动信号的分离测试技术[J].机械科学与技术,2006,25(4):487-490. 被引量:9
  • 3冯冰.基于盲分离的航空发动机状态信号处理研究[D].西安;西北工业大学,2008.
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