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一种Mark XIIA模式5信号的分选方法
吕敏
0
(中国西南电子技术研究所,成都 610036)
摘要:
针对复杂电磁环境下北约新型Mark XIIA模式5信号分选难度大的问题,提出了一种基于空域、时域特征的信号分选方法。通过方位角对脉冲序列进行聚类,研究前导脉冲偏移量生成规则,提出了基于通信安全有效性间隔与交错索引的框架识别算法。通过改进的脉冲重复间隔(Pulse Repetition Interval,PRI)变换法对信号进行周期估计,实现同向交错信号分离的目的。通过仿真对比,该框架识别算法对动态偏移的脉冲信号有很好的识别效果,能在更低信噪比条件下识别正确率达到90%。此外,改进的PRI变换法对抖动范围10%的周期信号,估计误差不超过2%。
关键词:  敌我识别;模式5  信号分选  动态聚类  框架识别  周期估计
DOI:
基金项目:
A Sorting Method of Mark XIIA Mode 5 Signals
LYU Min
(Southwest China Institute of Electronic Technology,Chengdu 610036,China)
Abstract:
In complex electromagnetic environment,it is difficult to sort NATO's new Mark XIIA Mode 5 signals.For this problem,a new signal sorting method based on spatial and temporal characteristics is proposed.In this method,the pulse sequence is clustered by direction of arrival(DOA),the generating rules of preamble pulse offset are studied,and a framework recognition algorithm based on communication security(COMSEC) validity interval(CVI) and stagger index is proposed.Finally,the periodic estimation of signals is carried out by improved pulse repetition interval(PRI) transform to achieve the separation of co-directional staggered signals.The simulation results show that the framework recognition algorithm has a good recognition effect on the dynamic offset pulse signal,and the recognition accuracy can reach 90% under the condition of lower signal-to-noise ratio.In addition,the estimated error of the improved PRI transform for periodic signals with 10% jitter range is less than 2%.
Key words:  identification friend or foe(IFF)  Mode 5  signal sorting  dynamic clustering  frame recognition  period estimation
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