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  • Tracker Operating Characteristic for Integrated Probabilistic Data Association

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    Clarkson214153.pdf (595.7Kb)
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    Accepted Manuscript (AM)
    Author(s)
    Clarkson, IVL
    Williams, JL
    Griffith University Author(s)
    Clarkson, Vaughan
    Year published
    2018
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    Abstract
    Integrated Probabilistic Data Association (IPDA) is a popular approach to target tracking and to track initiation and termination. In regards to track initiation, it may be said to belong to the "detect-then-track" class in which processing begins with sensor-level detections. This is in contrast to "track-before-detect" (TkBD) approaches in which un-thresholded sensor-level measurements are directly incorporated into a track-initiation statistic. In IPDA, the track-initiation statistic is the probability of existence (PoE). How should the confirmation threshold be set? We perform a statistical analysis that yields an accurate ...
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    Integrated Probabilistic Data Association (IPDA) is a popular approach to target tracking and to track initiation and termination. In regards to track initiation, it may be said to belong to the "detect-then-track" class in which processing begins with sensor-level detections. This is in contrast to "track-before-detect" (TkBD) approaches in which un-thresholded sensor-level measurements are directly incorporated into a track-initiation statistic. In IPDA, the track-initiation statistic is the probability of existence (PoE). How should the confirmation threshold be set? We perform a statistical analysis that yields an accurate approximation of the false-track and track detection probabilities as a function of the threshold on the PoE. From these probabilities, IPDA's tracker operating characteristic (TOC) can be derived. We further propose a tracker using similar ideas but which belongs to the TkBD class. Its TOC is likewise derived and compared with IPDA. The results of numerical simulations are presented which support the theoretical derivations.
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    Conference Title
    2018 International Conference on Radar, RADAR 2018
    DOI
    https://doi.org/10.1109/RADAR.2018.8557232
    Copyright Statement
    © 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
    Subject
    Theory of computation
    Publication URI
    http://hdl.handle.net/10072/384256
    Collection
    • Conference outputs

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