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弹箭与制导学报 >

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

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

基于改进二维CFAR参考滑窗技术的目标检测研究

  • 谢春思 1 ,
  • 刘志赢 2, 3 ,
  • 吴帅 2, 4 ,
  • 桑雨 2, 5
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  • 1 海军大连舰艇学院导弹与舰炮系,辽宁大连 116018
  • 2 海军大连舰艇学院学员五大队,辽宁大连 116018
  • 3 91991部队,浙江舟山 316001
  • 4 91526部队,广东湛江 524064
  • 5 91278部队,辽宁大连 116041

谢春思(1966—), 男, 湖南涟源人, 副教授, 博士, 研究方向:导弹武器系统与运用工程。

收稿日期: 2020-06-02

  网络出版日期: 2025-02-20

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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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摘要

为解决低信噪比条件下检测前跟踪TBD算法对多帧雷达回波数据累计处理量大的问题,通过融合多种传统滑窗的性能特点,提出基于改进二维CFAR参考滑窗的单帧雷达回波数据检测器,得到了网格形参考滑窗。仿真实验表明,与传统滑窗相比,网格形滑窗在窗口大小为15时具备更好的检测精度和更高的实时性,验证了网格形参考滑窗的稳定性,为TBD算法实现前的数据处理提供了更好的处理技术手段。

关键词： 二维CFAR; 检测前跟踪算法; 参考滑窗; 目标检测

本文引用格式

谢春思 , 刘志赢 , 吴帅 , 桑雨 . 基于改进二维CFAR参考滑窗技术的目标检测研究[J]. 弹箭与制导学报, 2021 , 41(3) : 48 -52 . DOI: 10.15892/j.cnki.djzdxb.2021.03.011

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

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参考文献

原文顺序 | 文献年度倒序 | 文中引用次数倒序
[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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