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针对多功能雷达采用复杂体制而造成的辐射源不能正确识别问题,提出了一种基于随机文法(SG)的辐射源识别算法。该算法基于多功能雷达的句法模型,将威胁数据库中的多功能雷达文法分为随机正则文法(SRG)和随机上下文无关文法(SCFG)两种情况,并分别构造随机有限自动机(SFA)和随机下推自动机(SPDA)对测量辐射源进行识别。仿真实验表明,该方法不仅能识别出多功能雷达辐射源的型号及模式,而且能识别出雷达辐射源的功能状态,并进而推断出雷达辐射源的威胁等级。
Aiming at the problem that the radiation source can not be correctly identified due to the complex system of the multi-function radar, a radiation source recognition algorithm based on random grammar (SG) is proposed. Based on the syntactic model of multi-functional radar, the algorithm divides the multi-functional radar grammar in threat database into two cases: random regular grammar (SRG) and random context-free grammar (SCFG) Random Push-down Automata (SPDA) to identify sources of measurement radiation. Simulation results show that this method can not only identify the model and mode of the multi-function radar emitter, but also recognize the functional status of the radar emitter and then infer the threat level of the radar emitter.