Abstract: To deal with the problem of emitter identification caused by parameter complexity and agility of multi-function radars, this article proposes a new identification method based on stochastic grammar (SG) deduced from the syntactic modeling of multi-function radars. This method divides the grammar of multi-function radars in the electronic threat libraries into two aspects, stochastic regular grammar (SRG) and stochastic context-free grammar (SCFG), and constructs respectively a stochastic finite automaton (SFA) and a stochastic push-down automaton (SPDA) for identification. A number of simulations are presented to demonstrate the identification capability of the SG algorithm. Simulation results show that the proposed algorithm can not only infer the type and work mode of measured emitters correctly, but also evaluate their functional state and threat level.

Key words: radar, multi-function radar, identification, emitter, stochastic grammar, stochastic finite automaton, stochastic push-down automaton