Please use this identifier to cite or link to this item:
https://hdl.handle.net/2440/41928
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Type: | Journal article |
Title: | Integrated track maintenance for the PMHT via the hysteresis model |
Author: | Davey, S. Gray, D. |
Citation: | IEEE Transactions on Aerospace and Electronic Systems, 2007; 43(1):93-111 |
Publisher: | IEEE-Inst Electrical Electronics Engineers Inc |
Issue Date: | 2007 |
ISSN: | 0018-9251 |
Statement of Responsibility: | Samuel J. Davey; Douglas A. Gray |
Abstract: | Unlike other tracking algorithms the probabilistic multi-hypothesis tracker (PMHT) assumes that the true source of each measurement is an independent realisation of a random process. Given knowledge of the prior probability of this assignment variable, data association is performed independently for each measurement. When the assignment prior is unknown, it can be estimated provided that it is either time independent, or fixed over the batch. This paper presents a new extension of the PMHT, which incorporates a randomly evolving Bayesian hyperparameter for the assignment process. This extension is referred to as the PMHT with hysteresis. The state of the hyperparameter reflects each model's contribution to the mixture, and thus can be used to quantify the significance of mixture components. The paper demonstrates how this can be used as a method for automated track maintenance in clutter. The performance benefit gained over the standard PMHT is demonstrated using simulations and real sensor data |
Description: | Copyright © 2007 IEEE |
DOI: | 10.1109/TAES.2007.357157 |
Published version: | http://dx.doi.org/10.1109/taes.2007.357157 |
Appears in Collections: | Aurora harvest 6 Electrical and Electronic Engineering publications |
Files in This Item:
File | Description | Size | Format | |
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hdl_41928.pdf | 1.88 MB | Publisher's PDF | View/Open |
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