| 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 |
| DOI：10.3969/j.issn.1001-893X. |
| Received:May 12, 2007Revised:July 30, 2007 |
| 基金项目: |
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| Radar Signal Sorting Based on Negentropy-Maximization Blind Source Extraction Algorithm |
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| 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. |
| Key words: radar signal sorting negentropy - maximization blind source extraction algorithm |
