基于抗ISODATA聚类分析的辐射源反侦察研究

Research on Count-Reconnaissance of Emitters Based on Anti-ISODATA Clustering Analysis

现代电磁环境下,电磁防护日益显得重要,通过反电子侦察技术,以对抗电子侦察对电磁信息安全构成的威胁。针对此问题进行了探讨,从雷达侦察信号处理着手,考虑一种不太依赖于接收机对象信息,对侦察接收机的位置与工作状态不敏感的抗迭代自组织数据分析算法(ISODATA)聚类方法,实现对辐射源侦察的对抗。仿真表明,该算法可以有效破坏对雷达侦察信号处理的正确分选过程,使其获得错误和虚假的辐射源电磁特征参数信息,从而实现电磁防护。

In modem electromatgnetic environment, electromagnetic protection appears more and more important, which confronts threat of electromagnetic information security from electronic reconnais-sance by using counter-electronic reconnaissance technique. Aiming at this problem, a method of an- ti-ISODATA（iterative self-organizing data analysis algorithm） clustering is presented, which needsless information about receivers and also is insensitive to the position and work mode of receivers from view of emitters reconnaissance signal processing. The simulation shows that electromagnetic protec-tion is achieved by giving mistaken and/or false emitters information according to the sorting processof radar reconnaissance signal processing.