A Method for States Estimation of Multi-function Radar Based on Stochastic Context Free Grammar
DAI Li-peng
WANG Bu-hong
CAI Bin
LIU Jun-li
Abstract：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%.
Keywords：multi-function radarstochastic context free grammarparameter estimation
Publication Date：2014-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：5( 24-28 )