A Novel Radar TBD Detection Approach for Weak Marine Targets in Dense Clutter Based on Modified Hough Transform

BAO Zhong-hua; LU Jian-bin; TIAN Yong-hua; TIAN Shu-sen

doi:10.12263/DZXB.20201031

您当前的位置：

首页 >

文章列表页 >

A Novel Radar TBD Detection Approach for Weak Marine Targets in Dense Clutter Based on Modified Hough Transform

PAPERS | 更新时间：2025-12-08

- A Novel Radar TBD Detection Approach for Weak Marine Targets in Dense Clutter Based on Modified Hough Transform
- ACTA ELECTRONICA SINICA Vol. 50, Issue 7, Pages: 1735-1743(2022)
- 作者机构：
  
  1.海军工程大学电子工程学院，湖北武汉 430033
  2.航天科工集团二院二十三所，北京 100854
- 作者简介：
- 基金信息：
- DOI：10.12263/DZXB.20201031
  CLC： TN953;TN957
- Received：20 September 2020，
  
  Revised：2021-04-07，
  
  Published：25 July 2022
- 稿件说明：
移动端阅览
包中华,卢建斌,田永华等.密集杂波背景下雷达微弱海面目标的修正Hough变换TBD检测新方法[J].电子学报,2022,50(07):1735-1743.

BAO Zhong-hua,LU Jian-bin,TIAN Yong-hua,et al.A Novel Radar TBD Detection Approach for Weak Marine Targets in Dense Clutter Based on Modified Hough Transform[J].ACTA ELECTRONICA SINICA,2022,50(07):1735-1743.
包中华,卢建斌,田永华等.密集杂波背景下雷达微弱海面目标的修正Hough变换TBD检测新方法[J].电子学报,2022,50(07):1735-1743. DOI： 10.12263/DZXB.20201031.

BAO Zhong-hua,LU Jian-bin,TIAN Yong-hua,et al.A Novel Radar TBD Detection Approach for Weak Marine Targets in Dense Clutter Based on Modified Hough Transform[J].ACTA ELECTRONICA SINICA,2022,50(07):1735-1743. DOI： 10.12263/DZXB.20201031.

摘要

针对密集杂波背景中雷达微弱海面目标检测问题，提出一种基于修正Hough变换的检测前跟踪（Track Before Detect，TBD）新方法.在传统两级检测器的基础上增加点迹筛选环节，提出一种基于单帧观测数据的修正单帧Hough变换（Modified Single Hough Transform，MSHT）算法，在MSHT空间引入连续多帧共线和速度约束条件，实现对密集杂波点迹的有效抑制；针对海面多目标同时检测需要，改进传统批处理Hough变换算法，使观测空间原点自适应筛选后点迹数据，得到数据匹配Hough变换算法（Data-Matched Hough Transform，DMHT），以提升参数空间多目标分辨与检测能力.基于游程分布理论推导得到新检测器检测性能解析表达式.仿真和实测数据处理结果验证了本文方法的有效性，表明本文方法在密集杂波背景下具有良好检测性能.

Abstract

Focusing on radar dim targets detection in dense clutter environment

we propose a novel track-before-detect(TBD) method based on modified Hough transform. On the basis of traditional two-stage TBD detector framework

an additional plot censoring stage was designed and a single frame observation based modified Hough transform(MSHT) was presented. By inspecting the SMHT results over several consecutive scans with the constrains of multi-scan collinear and maximum expected velocity

most of the clutter-derived plots were effectively eliminated. To detect multi targets simultaneously

the traditional block-based Hough transform was improved to be a form named as data-matched Hough transform(DMHT)

which automatically adapts the original of the observation space according to the censored plots

and can significantly prompt the resolution and detection ability of multi targets in the parametric space. The analytic expression of the new detector's detection performance was given based on the random run distribution theory. Tests on both the simulated and measured data sets show the effectiveness and good detection performance of the proposed method

especially in dense clutter environments.

关键词

Keywords

references

陈小龙 , 关键 , 董云龙 , 等 . 稀疏域海杂波抑制与微动目标检测方法 [J]. 电子学报 , 2016 , 44 ( 4 ): 860 - 867 .

CHEN X L , GUAN J , DONG Y L , et al . Sea clutter suppression and micromotion target detection in sparse domain [J]. Acta Electronica Sinica , 2016 , 44 ( 4 ): 860 - 867 . (in Chinese)

杨威 , 付耀文 , 潘晓刚 , 等 . 弱目标检测前跟踪技术研究综述 [J]. 电子学报 , 2014 , 42 ( 9 ): 1786 - 1793 .

YANG W , FU Y W , PAN X G , et al . Track-before-detect technique for dim targets: An overview [J]. Acta Electronica Sinica , 2014 , 42 ( 9 ): 1786 - 1793 . (in Chinese)

REED I S , GAGLIARDI R M , SHAO H M . Application of three-dimensional filtering to moving target detection [J]. IEEE Transactions on Aerospace and Electronic Systems , 1983 , AES- 19 ( 6 ): 898 - 905 .

CARLSON B D , EVANS E D , WILSON S L . Search radar detection and track with the Hough transform. I. system concept [J]. IEEE Transactions on Aerospace and Electronic Systems , 1994 , 30 ( 1 ): 102 - 108 .

CARLSON B D , EVANS E D , WILSON S L . Search radar detection and track with the Hough transform. II. detection statistics [J]. IEEE Transactions on Aerospace and Electronic Systems , 1994 , 30 ( 1 ): 109 - 115 .

CARLSON B D , EVANS E D , WILSON S L . Search radar detection and track with the Hough transform. III. Detection performance with binary integration [J]. IEEE Transactions on Aerospace and Electronic Systems , 1994 , 30 ( 1 ): 116 - 125 .

宋慧波 , 高梅国 , 田黎育 , 等 . 一种基于动态规划法的雷达微弱多目标检测方法 [J]. 电子学报 , 2006 , 34 ( 12 ): 2142 - 2145 .

SONG H B , GAO M G , TIAN L Y , et al . An algorithm based on DP for radar dim multi-target detection [J]. Acta Electronica Sinica , 2006 , 34 ( 12 ): 2142 - 2145 . (in Chinese)

张鹏 , 张林让 . 基于动态规划的雷达弱目标检测前跟踪算法 [J]. 西北大学学报(自然科学版) , 2014 , 44 ( 6 ): 898 - 903 .

ZHANG P , ZHANG L R . A Track-before-detect algorithm based on dynamic programming for radar dim target detection [J]. Journal of Northwest University(Natural Science Edition) , 2014 , 44 ( 6 ): 898 - 903 . (in Chinese)

YU H , WANG G , CAO Q , et al . A fusion based particle filter TBD algorithm for dim targets [J]. Chinese Journal of Electronics , 2015 , 24 ( 3 ): 590 - 595 .

卢锦 . 基于粒子滤波的微弱雷达目标检测方法 [D]. 西安 : 西安电子科技大学 , 2014 .

LU J . Weak Radar Target Detection Methods Based Upon Particle Filters [D]. Xi'an : Xidian University , 2014 . (in Chinese)

DUDA R O , HART P E . Use of the Hough transformation to detect lines and curves in pictures [J]. Communications of the ACM , 1972 , 15 ( 1 ): 11 - 15 .

MUKHOPADHYAY P , CHAUDHURI B B . A survey of Hough transform [J]. Pattern Recognition , 2015 , 48 ( 3 ): 993 - 1010 .

ORLANDO D , RICCI G , BAR-SHALOM Y . Track-before-detect algorithms for targets with kinematic constraints [J]. IEEE Transactions on Aerospace and Electronic Systems , 2011 , 47 ( 3 ): 1837 - 1849 .

YU H B , WANG G H , WU W , et al . A novel RHT-TBD approach for weak targets in HPRF radar [J]. Science China Information Sciences , 2016 , 59 ( 12 ): 1 - 14 .

柳树林 , 陈新亮 . 基于航迹检验的雷达检测前跟踪新算法 [J]. 北京理工大学学报 , 2012 , 32 ( 12 ): 1269 - 1272, 1278 .

LIU S L , CHEN X L . A new track-before-detect algorithm based on track detection [J]. Transactions of Beijing Institute of Technology , 2012 , 32 ( 12 ): 1269 - 1272, 1278 . (in Chinese)

王国宏 , 李林 , 于洪波 . 基于点集合并的修正Hough变换TBD算法 [J]. 航空学报 , 2017 , 38 ( 1 ): 198 - 208 .

WANG G H , LI L , YU H B . A modified Hough transform TBD algorithm based on point set merging [J]. Acta Aeronautica et Astronautica Sinica , 2017 , 38 ( 1 ): 198 - 208 . (in Chinese)

MAKRI F S , PHILIPPOU A N . On binomial and circular binomial distributions of order k for l-overlapping success runs of lengthk [J]. Statistical Papers , 2005 , 46 ( 3 ): 411 - 432 .

DILWORTH S J , MANE S R . Type II binomial distribution of order k with gaps [J]. Journal of the Indian Society for Probability and Statistics , 2018 , 19 ( 1 ): 105 - 120 .

LING K D . On binomial distributions of order K [J]. Statistics & Probability Letters , 1988 , 6 ( 4 ): 247 - 250 .

Views

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

A Fast Efficient Parallel Algorithm for Hough Transform

Analysis of Micro-Doppler Effect and Feature Extraction of Target in Inverse Synthetic Aperture Imaging Ladar

Feature-Point Detection and Geometry Calibration for an Autostereoscopic Tiled Display System Using Multiple Projectors

Analysis of Micro-Doppler Effect and Feature Extraction of Target in Frequency-Stepped Chirp Signal Radar (1.Telecommunication Engineering Institute,Air Force Engineering University,Xi’an,Shaanxi 710077,China; 2.Key Laboratory of Wave Scattering and Remote Sensing Information ,Fudan University, Shanghai 200433,China;3.Science Institute,Air Force Engineering University,Xi’an,Shaanxi 710051,China)

Related Author

Jian-bin LU

Yong-hua TIAN

Shu-sen TIAN

Zhong-hua BAO

QIN Ling

XU Xiao-hua

CHEN Hong-jian

CHEN Ling

Related Institution

School of Electronic Engineering， Naval University of Engineering

National Key Lab of Novel Software TechNanjing Univ.NanjingJiangsu 210093China

Department of Computer ScienceYangzhou UniversityYangzhouJiangsu 225009China

National Key Lab of Novel Software Tech,Nanjing Univ.

Department of Computer Science,Yangzhou University

⁰