Application of improved grey correlation algorithm on radiation source recognition

Aiming at the characteristics of imperfection and vagueness of radiation source information acquired by elec-tronic reconnaissance sensor in complex electromagnetic circumstance,a new method based on grey correlation and evi-dence theory was presented.Firstly,the shortcoming of common subjective grey correlation algorithm was overcome by the method.According to the information entropy theory,the weight of grey correlation algorithm was calculated in real time.And the basic probability assignment function(BPAF) of evidence was obtained by the self-adaptive entropy-weight grey correlation algorithm.Then according to the evidence combination rule and decision criteria based on the basic probability assignment,the proofs of different electronic reconnaissance sensor were fused.And the different kinds of ra-diation source were identified.The analysis of theory and result of simulation proved that,in contrast to the common subjective grey correlation algorithm,the self adaptive entropy-weight grey correlation algorithm had higher objective recognition rate,better circumstance adaptability and stronger computation reliability.