Short-time maritime target detection based on polarization scattering characteristics

doi:10.23919/JSEE.2023.000148

Journal of Systems Engineering and Electronics ›› 2024, Vol. 35 ›› Issue (1): 55-64.doi: 10.23919/JSEE.2023.000148

• RADAR DETECTION AND INTERFERENCE SUPPRESSION • Previous Articles

Short-time maritime target detection based on polarization scattering characteristics

Shichao CHEN¹^,*(), Feng LUO²(), Min TIAN²(), Wanghan LYU¹()

¹ College of Computer and Information Engineering (College of Artificial Intelligence), Nanjing Tech University, Nanjing 211816, China
² Hangzhou Institute of Technology, Xidian University, Hangzhou 311200, China

Received:2022-07-06 Accepted:2023-11-06 Online:2024-02-18 Published:2024-03-05
Contact: Shichao CHEN E-mail:scchen0115@163.com;luofeng@xidian.edu.cn;tianminbright@163.com;lwanghan@njtech.edu.cn
About author:
CHEN Shichao was born in 1992. She received her B.S. degree in electrical and information engineering from Southwest University, Chongqing, China, in 2014, and Ph.D. degree in signal and information processing from the National Laboratory of Radar Signal Processing, Xidian University, Xi’an, China, in 2020. She is an assistant professor with the School of Computer Science and Technology, Nanjing Tech University, Nanjing, China. Her research interests include radar signal processing, feature extraction, and target detection in sea clutter background. E-mail: scchen0115@163.com

LUO Feng was born in 1970. He received his B.S. degree in microelectronic circuits and system from University of Electronic Science and Technology of China, Chengdu, M.S. and Ph.D. degrees in signal and information processing from Xidian University, in 1993, 1998, and 2004, respectively. He is a professor with the National Laboratory of Radar Signal Processing, Xidian University. His research interests include radar system design, radar signal and information processing, and radar target detection and tracking. E-mail: luofeng@xidian.edu.cn

TIAN Min was born in 1993. She received her Ph.D. degree in electrical engineering from Xidian University, Xi’an, China, in 2019. She worked as an engineer in the Xi’an Institution of Space Radio Technology, Xi’an, from August 2019 to April 2022. Now, she is engaged in postdoctoral work at Xidian University. Her research interests include electromagnetic space integration system design and array signal processing. E-mail: tianminbright@163.com

LYU Wanghan was born in 1991. He received his B.S. degree in electronic information engineering in 2013 and Ph.D. degree in information and communication engineering in 2018 from Nanjing University of Science and Technology, China. He is an assistant professor with the School of Computer Science and Technology, Nanjing Tech University, China. His research interests include array signal processing and sparse sensing. E-mail: lwanghan@njtech.edu.cn
Supported by:
This work was supported by the National Natural Science Foundation of China (62201251), the Natural Science Foundation of the Jiangsu Higher Education Institutions of China (22KJB510024), and the Open Fund for the Hangzhou Institute of Technology Academician Workstation at Xidian University (XH-KY-202306-0291).

Abstract

Abstract:

In this paper, a detection method combining Cameron decomposition based on polarization scattering characteristics in sea clutter background is proposed. Firstly, the Cameron decomposition is exploited to fuse the radar echoes of full polarization channels at the data level. Due to the artificial material structure on the surface of the target, it can be shown that the non-reciprocity of the target cell is stronger than that of the clutter cell. Then, based on the analysis of the decomposition results, a new feature with scattering geometry characteristics in polarization domain, denoted as Cameron polarization decomposition scattering weight (CPD-SW), is extracted as the test statistic, which can achieve more detailed descriptions of the clutter scattering characteristics utilizing the difference between their scattering types. Finally, the superiority of the proposed CPD-SW detector over traditional detectors in improving detection performance is verified by the IPIX measured dataset, which has strong stability under short-time observation in threshold detection and can also improve the separability of feature space zin anomaly detection.

Key words: sea clutter, small target, radar detection, Cameron decomposition, characteristics analysis

Shichao CHEN, Feng LUO, Min TIAN, Wanghan LYU. Short-time maritime target detection based on polarization scattering characteristics[J]. Journal of Systems Engineering and Electronics, 2024, 35(1): 55-64.

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References 29

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Dataset	TC	PC	WS	SWH	ASCR
1993_310	7	6:9	33	0.9	2.52
1993_280	8	7:10	10	1.6	6.20
1993_17	9	8:11	9	2.2	10.64
1993_320	7	6:9	28	0.9	11.95
1998_3113	24	23,25,26	—	—	7.66
1998_5704	7	6,8,9	—	—	15.35
1998_2525	7	6,8,9	—	—	15.36
1998_2225	24	23,25,26	—	—	16.43

Observation time/s	Average P_d/%
0.128	42.50
0.512	58.29
1.024	75.32
4.096	93.24

Method	Observation time
Method	0.128 s	0.512 s	1.024 s	4.096 s
CFAR [1]	—	—	11.29	27.03
Hurst [10]	—	5.59	25.30	84.14
PolE [27]	14.75	18.50	22.55	53.83
DopplerE [8]	23.78	43.22	50.39	76.69
CPD-SW	42.50	58.29	75.32	93.24

Dataset	ASCR/dB	Method	P_f
Dataset	ASCR/dB	Method	$ {10^{{{ - 3}}}} $	$ {10^{{{ - 2}}}} $	$ {10^{{{ - 1}}}} $
1993_310	2.52	PolE	—	3.91	20.31
		DopplerE	0.98	5.28	26.56
		CPD-SW	8.40	13.67	33.59
1993_280	6.20	PolE	—	—	5.47
		DopplerE	0.59	4.10	35.94
		CPD-SW	15.63	22.46	46.68
1993_17	10.64	PolE	—	—	6.25
		DopplerE	9.38	26.95	59.77
		CPD-SW	38.09	42.58	63.48
1993_320	11.95	PolE	—	0.78	6.25
		DopplerE	10.55	14.45	32.62
		CPD-SW	6.84	41.41	75.20
1998_3113	7.66	PolE	—	—	6.74
		DopplerE	—	10.04	20.73
		CPD-SW	20.51	25.64	29.70
1998_5704	15.35	PolE	—	—	—
		DopplerE	—	—	10.47
		CPD-SW	46.79	53.21	61.11
1998_2525	15.36	PolE	10.53	26.20	63.26
		DopplerE	15.60	40.17	73.29
		CPD-SW	67.74	70.09	76.07
1998_2225	16.43	PolE	15.32	30.90	58.25
		DopplerE	18.16	43.16	72.22
		CPD-SW	68.16	70.94	73.72

Observation time/s	Method
Observation time/s	DBEA	3D-FPC-FM	3D-PFM	3D-FPC-FM with $ {W_{{\mathrm{scat}}}} $
0.128	0.8385	0.8516	0.8638	0.8940
0.512	0.8582	0.8858	0.8810	0.9063
1.024	0.8620	0.8711	0.8997	0.9102
4.096	0.8854	0.8802	0.9323	0.9427

Short-time maritime target detection based on polarization scattering characteristics

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