Version 1
: Received: 19 July 2023 / Approved: 20 July 2023 / Online: 21 July 2023 (02:34:08 CEST)
How to cite:
Radosavljevic, Z.; Ivkovic, D.; Kovacevic, B. Target Tracking Limits in a Dense Clutter Environments. Preprints2023, 2023071436. https://doi.org/10.20944/preprints202307.1436.v1
Radosavljevic, Z.; Ivkovic, D.; Kovacevic, B. Target Tracking Limits in a Dense Clutter Environments. Preprints 2023, 2023071436. https://doi.org/10.20944/preprints202307.1436.v1
Radosavljevic, Z.; Ivkovic, D.; Kovacevic, B. Target Tracking Limits in a Dense Clutter Environments. Preprints2023, 2023071436. https://doi.org/10.20944/preprints202307.1436.v1
APA Style
Radosavljevic, Z., Ivkovic, D., & Kovacevic, B. (2023). Target Tracking Limits in a Dense Clutter Environments. Preprints. https://doi.org/10.20944/preprints202307.1436.v1
Chicago/Turabian Style
Radosavljevic, Z., Dejan Ivkovic and Branko Kovacevic. 2023 "Target Tracking Limits in a Dense Clutter Environments" Preprints. https://doi.org/10.20944/preprints202307.1436.v1
Abstract
: The radar multi target tracking (MTT) technique requires prior knowledge of a number of parameters about the sensor, the target and backgrounds. The Integrated Track Splitting (ITS) is a fully automatic track-while-scan (TWS) target tracking algorithm capable of extracting and tracking a target in a dense clutter environment using quality false track discrimination (FTD) methodology. The computational complexity in ITS algorithm is limited, compared to other algorithms they use statistical methods to discriminate between false and true tracks, such as multiple hypothesis tracking (MHT), mainly due to the FTD performed. The paper provides an analysis of tracking parameters that allows determining the limit of the possibility of successful target tracking. Extensive experiments have confirmed that the recursive determination of the probability of the existence of a track during tracking can confirm a true track and reject a false track. The clutter density, number of random occurred targets, targets load during the maneuver and the target detection probability were varied. The results of experiments, carried out via Monte Carlo simulations, shown over representative confirmed true tracks (CTT) diagrams, root mean square error position and normalized tracking efficiency parametric diagrams allow the user to select optimal multi-target tracking parameters for different scenarios and clutter densities.
Keywords
multi target tracking; false track discrimination; radar; probability of detection
Subject
Computer Science and Mathematics, Signal Processing
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
