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Journal of Projectiles, Rockets, Missiles and Guidance >

2021 , Vol. 41 >Issue 3: 48 - 52

DOI: https://doi.org/10.15892/j.cnki.djzdxb.2021.03.011

Research on Target Detection Based on Improved 2D CFAR Reference Sliding Window

  • XIE Chunsi 1 ,
  • LIU Zhiying 2, 3 ,
  • WU Shuai 2, 4 ,
  • SANG Yu 2, 5
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  • 1 Department of Missile and Naval Gun, Dalian Naval Academy, Liaoning Dalian 116018, China
  • 2 Midshipmen Group Five, Dalian Naval Academy, Liaoning Dalian 116018, China
  • 3 No.91991 Unit, Zhejiang Zhoushan 316001, China
  • 4 No.91526 Unit, Guangdong Zhanjiang 524064, China
  • 5 No.91278 Unit, Liaoning Dalian 116041, China

Received date: 2020-06-02

  Online published: 2025-02-20

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Abstract

In order to solve the problem that the track-before-detect (TBD) algorithm has a large amount of accumulated processing capacity for multi frame radar echo data under low SNR, a single frame radar echo data detector based on improved two-dimensional CFAR reference sliding window is proposed by fusing the performance characteristics of various traditional sliding windows, and a grid reference sliding window is obtained. The simulation results show that the grid sliding window has better detection accuracy and higher real-time performance when the window size is 15, compared with the traditional sliding window, which verifies the stability of the grid reference sliding window and provides a better processing technical means for the data processing before the realization of TBD algorithm.

Key words： 2D CFAR; track-before-test algorithm; reference sliding window; target detection

Cite this article

XIE Chunsi , LIU Zhiying , WU Shuai , SANG Yu . Research on Target Detection Based on Improved 2D CFAR Reference Sliding Window[J]. Journal of Projectiles, Rockets, Missiles and Guidance, 2021 , 41(3) : 48 -52 . DOI: 10.15892/j.cnki.djzdxb.2021.03.011

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References

Publishing order | Descend order by publishing year | Descend order by cited within
[1]
吴帅, 谢春思, 李进军, 等. 基于轮廓像处理的岛岸附近目标检测[J]. 战术导弹技术, 2020(3):79-86.

[2]
司记伟, 田燕妮, 潘莉莉. 雷达制导反舰导弹打击近岸目标研究[J]. 飞航导弹, 2015(8):47-51.

[3]
王建国, 沙卫晓, 刘涛, 等. 反舰导弹攻击近岸目标问题研究[J]. 弹箭与制导学报, 2010, 30(2):71-73.

[4]
董受全, 刘志强. 反舰导弹对近岸目标射击的研究[J]. 飞航导弹, 2000(11):12-14.

[5]
谢春思, 李强, 李军玲. 基于航迹剪枝的动态规划检测前跟踪算法[J]. 弹箭与制导学报, 2017, 37(6):149-152.

[6]
王英. 基于动态规划的若目标检测前跟踪算法的研究[D]. 秦皇岛: 燕山大学, 2017.

[7]
董建双. 基于动态规划的检测前跟踪算法研究[D]. 大连: 大连海事大学, 2017.

[8]
刘海燕. 海杂波下恒虚警率目标检测方法研究[D]. 西安: 西安电子科技大学, 2012.

[9]
黄红平, 张晓玲. 一种改进型二维恒虚警率参考窗[J]. 航空兵器, 2011(1):34-37.

[10]
何友, 彭应宁. 雷达自动目标检测与恒虚警处理[M]. 北京: 清华大学出版社,1999:36-38.

[11]
SMITH M E, VARSHNEY P K. Intelligent CFAR processor based on data variability[J]. IEEE Transactions on Aerospace and Electronic systems, 2013, 36(3): 837-847.

[12]
WANG S Y, FU X Y, ZHAO Y, et al. Modification of CFAR algorithm for oil spill detection from SAR data[J]. Intelligent Automation & Soft Computing, 2015, 21(2): 163-174.

[13]
WU J, WANG H, YU X L. A bi-parametric clutter-map CFAR detection method in non-gaussian environment for foreign objects debris on runways[J]. Applied Mechanics and Materials, 2013, 401: 1173-1176.

[14]
周忠锦. 二维恒虚警率散发研究及实现[D]. 西安: 西安电子科技大学, 2017.

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