Algorithm Simulation of Multi-targets Track Correlation Based on Spectral Feature

Authors

Zhenping Ding, ZiJin College, Nanjing University of Science and Technology, Nanjing 210023, China
Huidong Guo, PLA No. 92403 Troops

Abstract

Abstract: In order to solve the problems of multi-targets track correlation in dense scenes, a method of track sequential real-time processing for multi-source track correlation system modeling is proposed. By calculating the absolute and relative position of the spectral features, the unified correlation matrix can be defined based on fuzzy decision theory, and the multi-target track correlation can be realized. Numerical simulations have shown the effectiveness of the track correlation algorithm on the basis of spectral features. Especially, the accuracy of correlation is much larger than that of the nearest-neighbor distance algorithm under the condition of dense target environment with systematic error. Meanwhile, the computational efficiency is much higher than that of the algorithm based on triangular topology, which proves this algorithm is more suitable for real-time processing systems.

Recommended Citation

Ding, Zhenping and Guo, Huidong (2025) "Algorithm Simulation of Multi-targets Track Correlation Based on Spectral Feature," Journal of System Simulation: Vol. 37: Iss. 9, Article 16.
DOI: 10.16182/j.issn1004731x.joss.24-0417
Available at: https://dc-china-simulation.researchcommons.org/journal/vol37/iss9/16

First Page

2387

Last Page

2396

CLC

TP391.9

Recommended Citation

Ding Zhenping, Guo Huidong. Algorithm Simulation of Multi-targets Track Correlation Based on Spectral Feature[J]. Journal of System Simulation, 2025, 37(9): 2387-2396.

DOI

10.16182/j.issn1004731x.joss.24-0417