基于SCFG建模的多功能雷达状态估计算法

摘要

In view of traditional data-centric radar warning technology failure in building up a model of Multi-function Radar at dynamic state and analyzing signals effectively,a mathematical model is established by utilizing stochastic context free grammar(SCFG)to signal production mechanism of MFR,and on this ba-sis SCFG production rules and MFR′s state transition matrix are estimated by EM algorithm,MFR′s op-eration state is estimated by Viterbi algorithm.The paper also studies the effect of grammar initial values on the algorithm.The simulation results show that the use of the method can effectively estimate MFR system parameters under condition of giving a proper initial value,and the correct probability of the state estimation can come to about 92%.%针对传统参数类雷达告警技术无法对多功能雷达的动态性和多功能性进行有效建模和信号分析的问题,利用基于模式类的随机上下文无关文法对MFR 的信号产生机制进行数学建模,并在此基础上采用统计自然语言处理中的EM算法对SCFG产生式概率,MFR状态转移概率进行估计,采用Viterbi方法对MFR的工作状态进行估计,并且仿真分析了文法概率初值对算法估计性能的影响。仿真实验表明：该算法在赋予合适初值的情况下,估计得到的文法概率与原始值十分接近,且其状态估计正确率达到92%左右。