Radar Emitter Identification Using Hidden Markov Model
Wěi Zhāng, Xin Sheng Yin, Xuyuan Cao, Yue Xie, Wei Nie · 2019
Using the statistical signal processing principle, which is widely used in the field of natural language processing (NLP), a radar emitter identification (REI) approach based on hidden Markov model (HMM) is proposed. Since a radar emitter is modeled by three model parameters of a HMM, the REI can be solved from the solution of the evaluation problem of a HMM. Simulation results show that the HMM based statistical identification method has tolerance to parameter error, which is suitable for radar emitter intelligent identification in complex environment.