基于GA的雷达辐射源识别自学习算法研究

文章针对目前雷达对抗系统面临的辐射源识别精度不高、智能化水平低的特点，将自学习理论引入到雷达对抗系统中。提出了基于GA（GeneticAlgorithm）的自学习算法，实现雷达辐射源智能识别。仿真结果表明：在使用相同的特征参数“前件”条件下，通过这种自学习方法得到的正确识别率高于其他识别方法。

Research of Radar Emitter Recognition Self-learning Algorithm Based on GA

According to the characteristics of low precision and low intelligence level in emitter recongnition which radar countermeasure system facing now, self-learning theory was used in radar countermeasure system. Putting forward a self-learning algorithm based on GA to recongnize radar emitter. Computer simulation proves that this self-learning algorithm can reaches higher correctness identification rate than other method under the same character parameters.