Krishnamurthy, Vikram and Dey, Subhrakanti (2003) Reduced spatio-temporal complexity MMPP and image-based tracking filters for maneuvering targets. IEEE Transactions on Aerospace and Electronic Systems, 39 (4). pp. 1277-1291. ISSN 1557-9603

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Abstract

We present reduced-complexity nonlinear filtering algorithms for image-based tracking of maneuvering targets. In image-based target tracking, the mode of the target is observed as a Markov modulated Poisson process (MMPP) and the aim is to compute optimal estimates of the target's state. We present a reduced complexity algorithm in two steps. First, a gauge transformation is used to reexpress the filtering equations in a form that is computationally more efficient for time discretization than naive discretization of the filtering equations. Second, a spatial aggregation algorithm with guaranteed performance bounds is presented for the time-discretized filters. A numerical example illustrating the performance of the resulting reduced-complexity filtering algorithms for a switching turn-rate model is presented.

Item Type:	Article
Keywords:	Reduced; spatio-temporal; complexity; MMPP; image-based; tracking filters; maneuvering; targets;
Academic Unit:	Faculty of Science and Engineering > Electronic Engineering Faculty of Science and Engineering > Research Institutes > Hamilton Institute
Item ID:	14415
Identification Number:	https://doi.org/10.1109/TAES.2003.1261128
Depositing User:	Subhrakanti Dey
Date Deposited:	11 May 2021 14:09
Journal or Publication Title:	IEEE Transactions on Aerospace and Electronic Systems
Publisher:	IEEE
Refereed:	Yes
URI:	Publisher
Use Licence:	This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

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