Improved TQWT for marine moving target detection

doi:10.23919/JSEE.2020.000029

Journal of Systems Engineering and Electronics ›› 2020, Vol. 31 ›› Issue (3): 470-481.doi: 10.23919/JSEE.2020.000029

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Improved TQWT for marine moving target detection

Meiyan PAN^1,^2,*(), Jun SUN^1,²(), Yuhao YANG^1,²(), Dasheng LI^1,²(), Sudao XIE^1,²(), Shengli WANG^1,²(), Jianjun CHEN^1,²()

¹ Nanjing Research Institute of Electronics Technology, Nanjing 210039, China
² Key Laboratory of IntelliSense Technology, China Electronics Technology Group Corporation, Nanjing 210039, China

Received:2019-07-23 Online:2020-06-30 Published:2020-06-30
Contact: Meiyan PAN E-mail:meiyan_pan@163.com;sunjun@ustc.edu;yyhao@mail.ustc.edu.cn;lds412@163.com;sudao_32@163.com;js_wsl@qq.com;chjj8181@qq.com
About author:PAN Meiyan was born in 1993. She received her B.S. degree in electronic and engineering from University of Electronic Science and Technology of China in 2016. She received her M.S. degree in communication and information system from Nanjing Research Institute of Electronics Technology (NRIET) in 2019. She is currently an assistant engineer in NREIT. Her research interests are marine target detection, sea clutter suppression and deep learning.E-mail: meiyan_pan@163.com|SUN Jun was born in 1974. He received his B.S. degree in manufacturing process automation from Shanghai Jiao Tong University in 1997, M.S. degree in computer applications technology from Kunming University of Science and Technology in 2000, and Ph.D. degree in signal and information processing from University of Science and Technology of China in 2006. He is currently the minister in the Key Laboratory of IntelliSense Technology, China Electronics Technology Group Corporation. His research interests are new system detection technology and radar information processing. E-mail: sunjun@ustc.edu|YANG Yuhao was born in 1983. He received his B.S. and Ph.D. degrees from University of Science and Technology of China in 2006 and 2011, respectively. He is currently the secretary in the Key Laboratory of IntelliSense Technology, China Electronics Technology Group Corporation. His research interests are new system and new technology of radar detection.E-mail: yyhao@mail.ustc.edu.cn|LI Dasheng was born in 1982. He received his B.S. degree in applied electronics technology from Nanjing Normal University in 2002, and M.S. degree in electromagnetic field and microwave technology from Nanjing Research Institute of Electronics Technology (NRIET) in 2005. He is a researcher-level senior engineer in NRIET. His research interests are new system radar imaging technology and radar target characteristics. E-mail: lds412@163.com|XIE Sudao was born in 1985. She received her B.S. and M.S. degrees in measurement and control technology and instrumentation and signal and information processing from Jilin University in 2005 and 2007, respectively. She is a senior engineer in Nanjing Research Institute of Electronics Technology. Her research interests are advanced radar system and radar signal processing.E-mail: sudao_32@163.com|WANG Shengli was born in 1957. He received his M.S. degree in electronic and communications systems from Nanjing Research Institute of Electronics Technology (NRIET) in 1991 and Ph.D. degree in information and communication engineering from Xidian University in 2004. He is currently a researcher-level senior engineer in NRIET. His research interests are new system detection system, radar signal processing and related technology. E-mail: js_wsl@qq.com|CHEN Jianjun was born in 1981. He received his B.S. degree in electronic information engineering from Shandong Normal University in 2004, M.S. degree in communication and information system from Nanjing Research Institute of Electronics Technology (NRIET) in 2007, and Ph.D. degree in information and communication engineering from Southeast University in 2010. He is currently a researcher-level senior engineer in NRIET. His research interests are new system and new technology of radar detection. E-mail: chjj8181@qq.com
Supported by:
the National Natural Science Foundation of China(U19B2031);This work was supported by the National Natural Science Foundation of China (U19B2031)

Abstract

Abstract:

Under the conditions of strong sea clutter and complex moving targets, it is extremely difficult to detect moving targets in the maritime surface. This paper proposes a new algorithm named improved tunable Q-factor wavelet transform (TQWT) for moving target detection. Firstly, this paper establishes a moving target model and sparsely compensates the Doppler migration of the moving target in the fractional Fourier transform (FRFT) domain. Then, TQWT is adopted to decompose the signal based on the discrimination between the sea clutter and the target's oscillation characteristics, using the basis pursuit denoising (BPDN) algorithm to get the wavelet coefficients. Furthermore, an energy selection method based on the optimal distribution of sub-bands energy is proposed to sparse the coefficients and reconstruct the target. Finally, experiments on the Council for Scientific and Industrial Research (CSIR) dataset indicate the performance of the proposed method and provide the basis for subsequent target detection.

Key words: marine moving target detection, improved tunable Q-factor wavelet transform (TQWT), fractional Fourier transform (FRFT), basis pursuit denoising (BPDN)

Meiyan PAN, Jun SUN, Yuhao YANG, Dasheng LI, Sudao XIE, Shengli WANG, Jianjun CHEN. Improved TQWT for marine moving target detection[J]. Journal of Systems Engineering and Electronics, 2020, 31(3): 470-481.

Figures/Tables 13

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References 26

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Parameter	Value
Data	TFC15_018
Transmit frequency/GHz	9
Radar height/m	67
Antenna	Stare
Antenna azimuth/(°)	166.02
Antenna elevation/(°)	-1.192
Initial range/m	3 000.6
Range bin	96
Range resolution/m	15
Wind speed/(m/s)	8.557 9
Sample period/ns	100
Pulse width/μs	0.1
Polar	VV
Duration/s	31.079 8
Pulse number	155 400
PRI/μs	200
Wave height/m	3.108 7
Target	RIB

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Improved TQWT for marine moving target detection

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