An Adaptive Track Correlation Algorithm

LIU Hao; CHEN Shi-you; WANG Xue-dong; ZHANG Bi-yin

doi:10.3969/j.issn.0372-2112.2013.12.015

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An Adaptive Track Correlation Algorithm

更新时间：2025-07-16

- An Adaptive Track Correlation Algorithm
- Acta Electronica Sinica Vol. 41, Issue 12, Pages: 2416-2421(2013)
- 作者机构：
  
  武汉数字工程研究所,湖北,武汉,430074
- 作者简介：
- 基金信息：
  
  Subject of National Defense Pre-research Project (No.51306030201, No.1011301020301);China Ship Fund Project (No.11J3.7.27)
- DOI：10.3969/j.issn.0372-2112.2013.12.015
  CLC： TP202
- Published：2013
- 稿件说明：
移动端阅览
LIU Hao, CHEN Shi-you, WANG Xue-dong, et al. An Adaptive Track Correlation Algorithm[J]. Acta Electronica Sinica, 2013, 41(12): 2416-2421.
DOI：

LIU Hao, CHEN Shi-you, WANG Xue-dong, et al. An Adaptive Track Correlation Algorithm[J]. Acta Electronica Sinica, 2013, 41(12): 2416-2421. DOI： 10.3969/j.issn.0372-2112.2013.12.015.

摘要

航迹关联算法应当具备自动调整控制参数的能力，以适应复杂多变、特性未知的航迹数据.本文提出了局部航迹关联不确定度的概念，给出了两种局部航迹关联不确定度的定义，在传统序贯统计航迹关联算法的基础上提出了一种自适应航迹关联方法，包括一种抗系统误差的新相似度计算方法、航迹关联序贯长度的自适应调整方法以及航迹关联门限的自适应调整方法.仿真实验表明，采用新算法后，系统误差在一定条件下对相似度的影响较小，序贯长度和关联门限的取值范围均能自适应地调整，正确地匹配目标间距和探测误差的变化，有效地提高复杂情况下的航迹关联正确率.

Abstract

The track correlation algorithm should be able to adjust its control parameter to adapt the complicated and changing track data with unknown system error and other unknown features.The concept of the local track correlation uncertainty was proposed in this paper

two types of local track correlation uncertainty was defined and an adaptive track correlation algorithm was proposed based on traditional sequential track correlation algorithm

which included a new anti-system-error method of calculating correlation probability

a method to adaptively adjust the length of sequence according to the first local track correlation uncertainty

and a method to adaptively adjust correlation threshold according to the second local track correlation uncertainty.The simulation results show that with the new algorithm

the system error has little effect on the correlation probability under certain conditions

the sequence length the range of correlation threshold can be adaptively adjusted according to the change of average distance of targets and random error of sensors

and the correct correlation rate can be effectively improved in complicated conditions.

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