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Application of Ant System and Nearest Neighbor Kalman Filter for multi target tracking in multi sensor radar system


Article Information

Title: Application of Ant System and Nearest Neighbor Kalman Filter for multi target tracking in multi sensor radar system

Authors: Ifan Wiranto, Zainudin Bonok

Journal: ARPN Journal of Engineering and Applied Sciences

HEC Recognition History
Category From To
Y 2023-07-01 2024-09-30
Y 2022-07-01 2023-06-30
Y 2021-07-01 2022-06-30
X 2020-07-01 2021-06-30

Publisher: Khyber Medical College, Peshawar

Country: Pakistan

Year: 2018

Volume: 13

Issue: 15

Language: English

Categories

Abstract

In multi-sensor radar system, some of the sensor measurements may be incorrect, due to the occurrence of false alarm and miss detection. So the number of targets and which the results of measurements derived from the target is not known for certain. The problem becomes how to determine the number of targets, which in the measurement results are mixed between the correct measurements (derived from the target) and the incorrect (false alarm). This problem is known as a multidimensional assignment problem. To solve this problem required a heuristic method. In this paper the Ant System method is offered to solve the multidimensional assignment problem and the Nearest Neighbor Kalman Filter to estimate the target state. Three different target trajectories were used in the simulation using three identical radar. It is found that the Ant System algorithm is able to separate between true and false alarm. Furthermore, the process of estimating the target using the Nearest Neighbor Kalman Filter.


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