Centralized Interacted Multiple Model Multisensor Fuzzy Joint Probabilistic Data Association Algorithm

ZHANG Jing-wei; HE You; XIONG Wei

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Centralized Interacted Multiple Model Multisensor Fuzzy Joint Probabilistic Data Association Algorithm

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- Centralized Interacted Multiple Model Multisensor Fuzzy Joint Probabilistic Data Association Algorithm
- Acta Electronica Sinica Vol. 36, Issue 8, Pages: 1655-1659(2008)
- 作者机构：
  
  海军航空工程学院信息融合技术研究所,山东,烟台,264001
- 作者简介：
- 基金信息：
- DOI：
  CLC： TN957
- Published：2008
- 稿件说明：
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ZHANG Jing-wei, HE You, XIONG Wei. Centralized Interacted Multiple Model Multisensor Fuzzy Joint Probabilistic Data Association Algorithm[J]. Acta Electronica Sinica, 2008, 36(8): 1655-1659.
DOI：

ZHANG Jing-wei, HE You, XIONG Wei. Centralized Interacted Multiple Model Multisensor Fuzzy Joint Probabilistic Data Association Algorithm[J]. Acta Electronica Sinica, 2008, 36(8): 1655-1659. DOI：

摘要

为了解决杂波环境下多传感器多机动目标跟踪问题

本文提出了一种集中交互式多传感器模糊联合概率数据互联算法.该算法首先设定多个跟踪模型并计算每个模型中测量点迹与航迹测量预测之间的模糊综合相似度;然后基于阈值判别及经验概率法则计算模糊联合互联概率

并基于此概率对各航迹进行状态估计及状态估计协方差的更新;最后计算各模型概率

并据此概率对各模型所获得状态估计进行加权得出各航迹在融合中心最终的状态估计.对该算法与集中交互式多传感器联合概率数据互联算法进行仿真比较

仿真结果显示该算法的跟踪精度较后者有显著提高

同时有效地降低了周期耗时

综合性能更优越.

Abstract

To resolve the multisensor multiplied maneuvering target tracking problem

a new algorithm is proposed.Firstly

multiple tracking models are set and the synthesis similar degree between measurement and prediction is calculated with applying method of the fuzzy mathematics.Then

association probability can be calculated with using the threshold distinction principle and experiential probability principle

and the state estimation and estimation covariance is updated for each target with applying the association probability.Finally

each model probability is calculated and the ultimately state estimation of each target is calculated in fusion center.Some typical simulations are used to compare the performance of this centralized interacted multiple model multisensor fuzzy joint probabilistic data association (CIMM-MSFJPDA) algorithm proposed here with the centralized interacted multiple model multisensor joint probabilistic data association (CIMM-MSJPDA) algorithm

and results show that the tracking precise of CIMM- MSFJPDA algorithm is better than that of CIMM-MSJPDA algorithm

and the computational burden of CIMM-MSFJPDA algorithm is much lower than that of CIMM-MSJPDA algorithm.Therefore

the synthesis performance of CIMM-MSFJPDA algorithm is better that of CIMM-MSPDA algorithm.

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ZHANG Jing-wei

HE You

XIONG Wei

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WU Tian-lei

YU Ying-lin

LIU Guo-sui

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Related Institution

Dept.of Computer Science &amp

Technology,Tsinghua University,State Key Laboratory of Intelligent Technology and System

Department of Electronic Engineering,South China University of Technology

Electro-Photo institute,Nanjing University of Science and Technology

Department of Electronic EngineeringSouth China University of TechnologyGuangzhou 510641China

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