摘要
针对当前雷达辐射源识别方法存在的正确率低等不足,为了改善雷达辐射源识别的效果,提出基于粒子群优化算法的雷达辐射源识别方法。首先对当前雷达辐射源识别的研究进行分析,找到当前识别方法的局限性,然后采用粒子群优化算法和支持向量机建立雷达辐射源识别模型,最后通过具体雷达辐射源识别实验分析其性能。结果表明,该方法可以有效提高雷达辐射源识别的正确率,使得雷达辐射源的识别错误率要低于其它方法,是一种有效的雷达辐射源识别方法。
For the poor accuracy rate of correct radar radiation source recognition method,this paper proposed the radar emitter identification method based on particle swarm optimization algorithm to improve radar emitter recognition effect. First analyze current research of radar emitter recognition to find out its deficiencies. Then,establish radar emitter recognition model by particle swarm optimization algorithm and vector machine. Finally analyse its functions through radar radiation source recognition experiment. The results show that this method can effectively improve the accuracy of radar emitter identification. It is an effective radar emitter recognition method.
出处
《激光杂志》
北大核心
2018年第2期118-121,共4页
Laser Journal
基金
四川省教育厅科研项目(No.SCYG2015-2-12)
重庆市教委科学技术研究项目(No.KJ1729404)
关键词
雷达辐射源
支持向量机
识别方法
粒子群优化算法
识别正确率
radar emitter
support vector machine
identification method
particle swarm optimization algorithm
recognition accuracy
