Track-Before-Detect Technique for Dim Targets：An Overview

YANG Wei; FU Yao-wen; PAN Xiao-gang; ZHANG Zhi-yong; LI Xiang

doi:10.3969/j.issn.0372-2112.2014.09.019

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Track-Before-Detect Technique for Dim Targets：An Overview

更新时间：2025-07-16

- Track-Before-Detect Technique for Dim Targets：An Overview
- Acta Electronica Sinica Vol. 42, Issue 9, Pages: 1786-1793(2014)
- 作者机构：
  
  1. 国防科学技术大学九院,湖南,长沙,410073
  2. 国防科学技术大学电子科学与工程学院,湖南,长沙,410073
  3. 国防科学技术大学九院,湖南,长沙,410073
  4. 国防科学技术大学电子科学与工程学院,湖南,长沙,410073
- 作者简介：
- 基金信息：
  
  National Natural Science Foundation of China (No.61101181, No.401486)
- DOI：10.3969/j.issn.0372-2112.2014.09.019
  CLC： TN911
- Published：2014
- 稿件说明：
移动端阅览
YANG Wei, FU Yao-wen, PAN Xiao-gang, et al. Track-Before-Detect Technique for Dim Targets：An Overview[J]. Acta Electronica Sinica, 2014, 42(9): 1786-1793.
DOI：

YANG Wei, FU Yao-wen, PAN Xiao-gang, et al. Track-Before-Detect Technique for Dim Targets：An Overview[J]. Acta Electronica Sinica, 2014, 42(9): 1786-1793. DOI： 10.3969/j.issn.0372-2112.2014.09.019.

摘要

该文阐述了弱目标检测前跟踪的基本原理，重点综述了近年来检测前跟踪技术的研究现状，包括动态规划、递归贝叶斯滤波、有限集统计学及直方图概率多假设跟踪等方法，对检测前跟踪技术的应用亦有相关介绍.最后在现有研究发展的基础上，着眼于提高针对弱目标的检测和跟踪性能及检测前跟踪算法鲁棒性的迫切需求，提出了检测前跟踪技术需重点关注和解决的若干问题，包括检测前跟踪算法的性能分析与评估、邻近弱目标检测前跟踪、机动弱目标的检测前跟踪、弱目标的多传感器融合检测和跟踪及弱目标的联合检测、跟踪与分类等方面.

Abstract

The basic principle behind the track-before-detect(TBD)scheme was introduced

and an overview of the studies on state-of-art TBD methods was then presented.The paper paid special attention to the following TBD methods:dynamic programming

recursive Bayesian filtering

finite set statistics

histogram probability multi-hypothesis tracking

and also the relevant applications.Finally

some key issues to enhance the precision and robustness of dim target detection and tracking are indicated based on the progress of the existing research

which deserve more attention of the researchers' for solution.These include:performance analysis and evaluation of the existing TBD methods

the TBD solutions for closely-spaced and/or maneuvering dim targets

multi-sensor fusion for the TBD problem

joint target detection

tracking and classification(JDTC) for dim targets

and so on.

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