Direction of arrival estimation method based on quantum electromagnetic field optimization in the impulse noise  

作　　者：DU Yanan GAO Hongyuan CHEN Menghan 

机构地区：[1]College of Information and Communication Engineering,Harbin Engineering University,Harbin 150001,China

出　　处：《Journal of Systems Engineering and Electronics》2021年第3期527-537,共11页系统工程与电子技术（英文版）

基　　金：supported by the National Natural Science Foundation of China(61571149);the Natural Science Foundation of Heilongjiang Province(LH2020F017);the Initiation Fund for Postdoctoral Research in Heilongjiang Province(LBH-Q19098);the Heilongjiang Province Key Laboratory of High Accuracy Satellite Navigation and Marine Application Laboratory(HKL-2020-Y01).

摘　　要：In order to resolve direction finding problems in the impulse noise,a direction of arrival(DOA)estimation method is proposed.The proposed DOA estimation method can restrain the impulse noise by using infinite norm exponential kernel covariance matrix and obtain excellent performance via the maximumlikelihood(ML)algorithm.In order to obtain the global optimal solutions of this method,a quantum electromagnetic field optimization(QEFO)algorithm is designed.In view of the QEFO algorithm,the proposed method can resolve the difficulties of DOA estimation in the impulse noise.Comparing with some traditional DOA estimation methods,the proposed DOA estimation method shows high superiority and robustness for determining the DOA of independent and coherent sources,which has been verified via the Monte-Carlo experiments of different schemes,especially in the case of snapshot deficiency,low generalized signal to noise ratio(GSNR)and strong impulse noise.Beyond that,the Cramer-Rao bound(CRB)of angle estimation in the impulse noise and the proof of the convergence of the QEFO algorithm are provided in this paper.

关 键 词：direction of arrival(DOA)estimation impulse noise infinite norm exponential kernel covariance matrix maximum-likelihood(ML)algorithm quantum electromagnetic field optimization(QEFO)algorithm Cramer-Rao bound(CRB) 

分 类 号：TN911.7[电子电信—通信与信息系统]