Adaptive filtering algorithms in target tracking applications

Igor Jovandic; Željko Djurović; Branko Kovačević

doi:10.2298/fuee0303317j

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Adaptive filtering algorithms in target tracking applications

Igor Jovandic Željko Djurović Branko Kovačević

Year: 2003 Journal: Facta universitatis - series Electronics and Energetics Vol: 16 (3)Pages: 317-326 Publisher: University of Niš

DOI: 10.2298/fuee0303317j

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Abstract

Comparison of several target tracking algorithms is presented. Namely discrete noise level adjustment (DNLA), variable state dimension (VSD) and interacting multiple model (IMM) algorithms are discussed. Target trajectory, target models, filtering algorithms and simulation results are given. The cumulative estimation error criterion is used in order to compare the algorithms.

Keywords:

Algorithm Dimension (graph theory) Tracking (education) Computer science Noise (video) Trajectory Variable (mathematics) Adaptive filter Mathematics Artificial intelligence

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Topics

Target Tracking and Data Fusion in Sensor Networks

Physical Sciences → Computer Science → Artificial Intelligence

Neural Networks and Applications

Physical Sciences → Computer Science → Artificial Intelligence

Infrared Target Detection Methodologies

Physical Sciences → Engineering → Aerospace Engineering

Adaptive filtering algorithms in target tracking applications

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