AN APPROACH TO SOLVE THE PROBLEM OF DATA FUSION FOR MULTI-TARGET TRACKING USING FUZZY LOGIC

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Authors

  • Dang Quang Hieu (Corresponding Author) Institute of System Integration, Military Technical Academy

Keywords:

Data fusion (data association); Multi-target tracking; Fuzzy logic.

Abstract

This paper presents a multitarget data fusion (identification) algorithm called the Fuzzy data fusion algorithm (FDFA) for radar target tracking. This approach is formulated using the Kalman filter and FDF, the algorithm is accomplished by using fuzzy logic. Simulation results for cluttered conditions show that the proposed algorithm's performance is better than the probability data fusion (PDF) and the joint probability data fusion (JPDF) filters, which were presented in [2-4, 6].

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Published

06-05-2020

How to Cite

Dang Quang Hieu. “AN APPROACH TO SOLVE THE PROBLEM OF DATA FUSION FOR MULTI-TARGET TRACKING USING FUZZY LOGIC”. Journal of Military Science and Technology, no. 66A, May 2020, pp. 16-24, https://en.jmst.info/index.php/jmst/article/view/208.

Issue

No. 66A (2020)

Section

Research Articles