基于负熵最大化盲抽取的雷达信号分选研究

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.

Radar Signal Sorting Based on Negentropy-Maximization Blind Source Extraction Algorithm

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.