Localization for mixed near-field and far-field sources under impulsive noise

doi:10.23919/JSEE.2023.000065

Journal of Systems Engineering and Electronics ›› 2024, Vol. 35 ›› Issue (2): 302-315.doi: 10.23919/JSEE.2023.000065

• ELECTRONICS TECHNOLOGY • Previous Articles

Localization for mixed near-field and far-field sources under impulsive noise

Hongyuan GAO¹^,*(), Yuze ZHANG¹(), Ya’nan DU¹(), Jianhua CHENG²(), Menghan CHEN¹()

¹ College of Information and Communication Engineering, Harbin Engineering University, Harbin 150001, China
² College of Intelligent Systems Science and Engineering, Harbin Engineering University, Harbin 150001, China

Received:2022-03-23 Accepted:2023-02-01 Online:2024-04-18 Published:2024-04-18
Contact: Hongyuan GAO E-mail:gaohongyuan@hrbeu.edu.cn;zhangyuze@hrbeu.edu.cn;wenhuamo@126.com;chengjianhua@hrbeu.edu.cn;moqunjisuan@163.com
About author:
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 an associate professor in the College of Information and Communication Engineering at Harbin Engineering University. His current research interests include artificial intelligence, signal processing of array, and wireless communication system. E-mail: gaohongyuan@hrbeu.edu.cn

ZHANG Yuze was born in 2000. He received his B.S. degree from Harbin Engineering University in 2021. He is studying towards his M.S. degree in the College of Information and Communication Engineering at Harbin Engineering University. His current research interests include signal processing and artificial intelligence. E-mail: zhangyuze@hrbeu.edu.cn

DU Ya’nan was born in 1992. She received her M.S. degree in communication engineering from Harbin Engineering University in 2017. She is 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

CHENG Jianhua was born in 1977. He received his M.S. and Ph.D. degrees in navigation, guidance, and control from Harbin Engineering University in 2006. He is a professor in the College of Control Science and Engineering at Harbin Engineering University. His current research interests include inertial navigation system, satellite navigation, and integrated navigation. E-mail: chengjianhua@hrbeu.edu.cn

CHEN Menghan was born in 1994. She received her B.S. degree from Harbin Engineering University in 2016. She is a doctoral candidate of information and communication engineering 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 (62073093), the initiation fund for postdoctoral research in Heilongjiang Province (LBH-Q19098), and the Natural Science Foundation of Heilongjiang Province (LH2020F017).

Abstract

Abstract:

In order to solve the problem that the performance of traditional localization methods for mixed near-field sources (NFSs) and far-field sources (FFSs) degrades under impulsive noise, a robust and novel localization method is proposed. After eliminating the impacts of impulsive noise by the weighted outlier filter, the direction of arrivals (DOAs) of FFSs can be estimated by multiple signal classification (MUSIC) spectral peaks search. Based on the DOAs information of FFSs, the separation of mixed sources can be performed. Finally, the estimation of localizing parameters of NFSs can avoid two-dimension spectral peaks search by decomposing steering vectors. The Cramer-Rao bounds (CRB) for the unbiased estimations of DOA and range under impulsive noise have been drawn. Simulation experiments verify that the proposed method has advantages in probability of successful estimation (PSE) and root mean square error (RMSE) compared with existing localization methods. It can be concluded that the proposed method is effective and reliable in the environment with low generalized signal to noise ratio (GSNR), few snapshots, and strong impulse.

Key words: source localization, far-field source (NFS), near-field source (FFS), impulsive noise, Cramer-Rao bound (CRB)

Hongyuan GAO, Yuze ZHANG, Ya’nan DU, Jianhua CHENG, Menghan CHEN. Localization for mixed near-field and far-field sources under impulsive noise[J]. Journal of Systems Engineering and Electronics, 2024, 35(2): 302-315.

Figures/Tables 13

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Parameter	p₁	Characteristic exponent $ \alpha $
Parameter	p₁	0.800 0	0.971 4	1.142 9	1.314 3	1.485 7	1.657 1	1.828 6	2.000 0
RMSE of DOAs/ (°)	$0.2$	2.843 4	0.692 0	0.536 3	0.424 6	0.353 5	0.298 1	0.247 9	0.220 6
	$0.5$	2.969 7	0.693 1	0.536 2	0.422 3	0.347 5	0.296 7	0.246 9	0.220 5
	$0.8$	3.100 7	0.697 3	0.530 5	0.417 3	0.353 3	0.290 6	0.242 7	0.218 5
RMSE of ranges/m	$0.2$	0.998 3	0.423 4	0.306 1	0.246 2	0.218 4	0.190 9	0.170 6	0.159 4
	$0.5$	0.968 4	0.430 9	0.308 0	0.245 8	0.216 5	0.189 9	0.167 9	0.156 7
	$0.8$	1.224 6	0.438 5	0.305 7	0.245 7	0.214 9	0.189 2	0.163 9	0.153 6

Parameter	p₁	GSNR/dB
Parameter	p₁	0.000 0	2.857 1	5.714 3	8.571 4	11.426 8	14.285 7	17.142 9	20.000 0
RMSE of DOAs/ (°)	$0.2$	1.172 6	0.732 6	0.473 4	0.322 5	0.2412	0.175 2	0.132 7	0.110 3
	$0.5$	1.160 0	0.729 2	0.466 2	0.317 2	0.2402	0.174 7	0.133 2	0.106 3
	$0.8$	1.155 4	0.726 0	0.462 1	0.316 6	0.2357	0.173 2	0.131 6	0.102 5
RMSE of ranges/m	$0.2$	0.943 7	0.569 0	0.404 0	0.291 6	0.210 3	0.183 7	0.1468	0.121 7
	$0.5$	0.934 0	0.568 1	0.401 9	0.291 5	0.211 2	0.178 6	0.1458	0.116 0
	$0.8$	0.932 2	0.564 0	0.400 7	0.291 2	0.206 8	0.177 6	0.1421	0.111 4

Method	Simulation time
MBODS	11.126 7
SP-GESPRIT	3.763 0
M-MUSIC	21.017 9
The proposed	9.568 9

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Localization for mixed near-field and far-field sources under impulsive noise

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