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

doi:10.23919/JSEE.2021.000044

Journal of Systems Engineering and Electronics ›› 2021, Vol. 32 ›› Issue (3): 527-537.doi: 10.23919/JSEE.2021.000044

• ELECTRONICS TECHNOLOGY • Previous Articles Next Articles

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

Yanan DU(), Hongyuan GAO*(), Menghan CHEN()

¹ College of Information and Communication Engineering, Harbin Engineering University, Harbin 150001, China

Received:2020-06-01 Online:2021-06-18 Published:2021-07-26
Contact: Hongyuan GAO E-mail:wenhuamo@126.com;gaohongyuan@hrbeu.edu.cn;moqunjisuan@163.com
About author:|DU Yanan was born in 1992. She received her M.S. degree in communication engineering from Harbin Engineering University, Harbin, Heilongjiang, China, in 2017. She is currently working towards her Ph.D. degree in the College of Information and Communication Engineering at Harbin Engineering University, China. Her current research interests include swarm intelligence and signal processing. E-mail: wenhuamo@126.com||GAO Hongyuan was born in 1977. He received his M.S. and Ph.D. degrees in communication and information systems from Harbin Engineering University in 2005 and 2010, respectively. He is currently an associate professor in the College of Information and Communication Engineering at Harbin Engineering University. His current research interests include intelligence computing, signal processing of radar and wireless communication system. E-mail: gaohongyuan@hrbeu.edu.cn||CHEN Menghan was born in 1994. She received her B.S. degree from Harbin Engineering University in 2016. Now she is a doctoral candidate of information and communication engineering. She is currently working towards her Ph.D. degree in the College of Information and Communication Engineering at Harbin Engineering University, China. Her current research interests include intelligence computing and array signal processing. E-mail: moqunjisuan@163.com
Supported by:
This work was 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), and the Heilongjiang Province Key Laboratory of High Accuracy Satellite Navigation and Marine Application Laboratory (HKL-2020-Y01)

Abstract

Abstract:

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 maximum-likelihood (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 Cramér-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.

Key words: direction of arrival (DOA) estimation, impulse noise, infinite norm exponential kernel covariance matrix, maximum-likelihood (ML) algorithm, quantum electromagnetic field optimization (QEFO) algorithm, Cramér-Rao bound (CRB)

Yanan DU, Hongyuan GAO, Menghan CHEN. Direction of arrival estimation method based on quantum electromagnetic field optimization in the impulse noise[J]. Journal of Systems Engineering and Electronics, 2021, 32(3): 527-537.

Figures/Tables 8

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

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