Multiframe track-before-detect method based on velocity filtering in mixed coordinates

doi:10.23919/JSEE.2022.000025

Journal of Systems Engineering and Electronics ›› 2022, Vol. 33 ›› Issue (2): 247-258.doi: 10.23919/JSEE.2022.000025

• • 下一篇

收稿日期:2021-01-08 接受日期:2022-02-15 出版日期:2022-05-06 发布日期:2022-05-06

Multiframe track-before-detect method based on velocity filtering in mixed coordinates

Liangliang WANG^1,²(), Gongjian ZHOU^1,^2,*()

¹ School of Electronics and Information Engineering, Harbin Institute of Technology, Harbin 150001, China
² Key Laboratory of Marine Environmental Monitoring and Information Processing, Ministry of Industry and Information Technology, Harbin 150001, China

Received:2021-01-08 Accepted:2022-02-15 Online:2022-05-06 Published:2022-05-06
Contact: Gongjian ZHOU E-mail:awang_liang_liang@163.com;zhougj@hit.edu.cn
About author:|WANG Liangliang was born in 1994. He received his B.E. degree in electronic information engineering from Harbin Institute of Technology, Weihai, China in 2016. He is currently pursuing his Ph.D. degree in the School of Electronics and Information Engineering, Harbin Institute of Technology, Harbin, China. From March 2020 to March 2021, he was a visiting Ph.D. student with the Department of Electrical and Computer Engineering, McMaster University, Hamilton, ON, Canada. His research interests include signal processing, target tracking, and parameter estimation, with an emphasis on weak target detection and tracking. E-mail: awang_liang_liang@163.com||ZHOU Gongjian was born in 1979. He received his B.E., M.E., and Ph.D. degrees in information and communication engineering from Harbin Institute of Technology, Harbin, China, in 2000, 2002, and 2008, respectively. From February 2009 to March 2011, he held a postdoctoral fellowship in the Department of Aerospace Engineering, Harbin Institute of Technology. From April 2011 to May 2012, he was a visiting professor with the Department of Electrical and Computer Engineering, McMaster University, Hamilton, ON, Canada. He is currently a professor with the Department of Electronic Engineering, Harbin Institute of Technology. His research interests include estimation, tracking, detection, information fusion and signal processing. E-mail: zhougj@hit.edu.cn
Supported by:
This work was supported by the National Natural Science Foundation of China (61671181)

摘要/Abstract

Abstract:

In this paper, a velocity filtering based track-before-detect algorithm in mixed coordinates is presented to address the problem of integration loss caused by inaccurate motion model in polar coordinate sensors. Since the motion of a constant velocity (CV) target is better modeled in Cartesian coordinates, the search of measurements for integration in polar sensor coordinates is carried out according to the CV model in Cartesian coordinates instead of an approximate model in polar sensor coordinates. The position of each cell is converted into Cartesian coordinates and predicted according to an assumed velocity. Then, the predicted Cartesian position is converted back to polar sensor coordinates for multiframe accumulation. The use of the correct model improves integration effectiveness and consequently improves algorithm performance. To handle the weak target with unknown velocity, a velocity filter bank in mixed coordinates is presented. The influence of velocity mismatch on the performance of filter bank is analyzed, and an efficient strategy for filter bank design is proposed. Numerical results are presented to demonstrate the effectiveness of the proposed algorithm.

Key words: mixed coordinate approach, velocity filtering, multiframe integration, weak target detection, polar sensor coordinate

. [J]. Journal of Systems Engineering and Electronics, 2022, 33(2): 247-258.

Liangliang WANG, Gongjian ZHOU. Multiframe track-before-detect method based on velocity filtering in mixed coordinates[J]. Journal of Systems Engineering and Electronics, 2022, 33(2): 247-258.

图/表 20

参考文献 36

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Number of frames $ K $	Threshold value ${V_{{T} } }$	Number of frames $ K $	Threshold value ${V_{{T} } }$
4	5.89	9	11.41
5	7.04	10	12.45
6	8.15	11	13.32
7	9.26	12	13.82
8	10.34	?	?

Multiframe track-before-detect method based on velocity filtering in mixed coordinates

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