Track Synthetic Algorithm based on Modified Fuzzy Theory and D-S Evidence Decision

Authors

Zhiwei Wang, 1. School of Information Science and Engineering, Shenyang Ligong University, Shenyang 110159, China; ;3. School of Electronic Science and Engineering, National University of Defense Technology, Changsha 410073, China;
Yulan Hu, 1. School of Information Science and Engineering, Shenyang Ligong University, Shenyang 110159, China; ;
Shujie Hu, 1. School of Information Science and Engineering, Shenyang Ligong University, Shenyang 110159, China; ;
Liu Wei, 2. School of Mechanical Engineering, Shenyang Ligong University, Shenyang 110159, China; ;

Abstract

Abstract: Aiming at the problems existing in fuzzy reasoning track association, such as the filter divergence, the membership performance degradation, the difficulty in determining association threshold value, and the association effect deterioration under complex circumstances, a track association algorithm based on modified fuzzy theory and D-S Evidence Decision is proposed. Based on the attenuated memory extended Kalman filter (AMEKF), a logarithmic likelihood function adaptive correction method is proposed to correct the disorientation of membership function,and a D-S evidence decision-making tracking association algorithm with conflict resolution and consistent focusing is proposed. The simulation results show that comparing with the original algorithm, the new algorithm improves the membership performance and lowers the difficulty in determining the correlation threshold value. This new association algorithm improves the accuracy of track average Association decision by 5.3%.

Recommended Citation

Wang, Zhiwei; Hu, Yulan; Hu, Shujie; and Wei, Liu (2019) "Track Synthetic Algorithm based on Modified Fuzzy Theory and D-S Evidence Decision," Journal of System Simulation: Vol. 31: Iss. 10, Article 7.
DOI: 10.16182/j.issn1004731x.joss.17-0425
Available at: https://dc-china-simulation.researchcommons.org/journal/vol31/iss10/7

First Page

2019

Revised Date

2018-03-01

DOI Link

https://doi.org/10.16182/j.issn1004731x.joss.17-0425

Last Page

2029

CLC

TP202

Recommended Citation

Wang Zhiwei, Hu Yulan, Hu Shujie, Liu Wei. Track Synthetic Algorithm based on Modified Fuzzy Theory and D-S Evidence Decision[J]. Journal of System Simulation, 2019, 31(10): 2019-2029.

DOI

10.16182/j.issn1004731x.joss.17-0425