In order to ensure the accuracy and rationality of information processing in the process of multi-sensor multi-target tracking and multi-sensor information fusion, and to establish the correct correspondence between multi-sensor measurement data and interested targets, a target association method based on fuzzy membership function and Hungarian algorithm is proposed. This method adopts fuzzy inference technology to perform fuzzy membership analysis on the sensor measurement data, and establishes a fuzzy association matrix as a basis for target association through membership function. With the minimization of membership as a constraint, the Hungarian algorithm is used to obtain the optimal matching scheme for multiple target associations. Simulation test results show that the method is simple and effective and suitable for engineering practice.
Target Association Method Based on Fuzzy Membership and Hungary Algorithm
Lect. Notes Electrical Eng.
2021-10-30
10 pages
Aufsatz/Kapitel (Buch)
Elektronische Ressource
Englisch
British Library Online Contents | 2006
|Fuzzy membership function optimization
British Library Conference Proceedings | 2012
|SwissRail Export Association membership listing
Online Contents | 1997
Performance Evaluation of A Fuzzy Data Association Algorithm for Multi Target Tracking (MTT)
British Library Conference Proceedings | 2000
|