CAJ | 학술논문

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。
침대전통삼수류뢰체고경기술무법대다공능뢰체적동태성화다공능성진행유효건모화신호분석적문제,이용기우모식류적수궤상하문무관문법대MFR 적신호산생궤제진행수학건모,병재차기출상채용통계자연어언처리중적EM산법대SCFG산생식개솔,MFR상태전이개솔진행고계,채용Viterbi방법대MFR적공작상태진행고계,병차방진분석료문법개솔초치대산법고계성능적영향。방진실험표명：해산법재부여합괄초치적정황하,고계득도적문법개솔여원시치십분접근,차기상태고계정학솔체도92%좌우。
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%.