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Proceedings Paper

Enhanced performance for the interacting multiple model estimator with integrated multiple filters
Author(s): Madeleine G. Sabordo; Elias Aboutanios
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Paper Abstract

In this paper, we propose a new approach to target visibility for the Interacting Multiple Model (IMM) algorithm. We introduce the IMM Integrated Multiple Filters (IMF) to selectively engage a suitable filter appropriate for gated clutter density at each time step and investigate five model sets that model the dynamic motion of a manoeuvring target. The model sets are incorporated into the IMM-IMF tracker to estimate the behaviour of the target. We employ the Dynamic Error Spectrum (DES) to assess the effectiveness of the tracker with target visibility concept incorporated and to compare the performance of the model sets in enhancing tracking performance. Results show that the new version of target visibility significantly improves the performance of the tracker. Simulation results also demonstrate that the 2CV-CA-2CT model set proves to be the most robust at the cost of computational resource. The CV-CA model is the fastest tracker. However, it is the least robust in terms of performance. These results assist decision makers and researchers in choosing appropriate models for IMMtrackers. Augmenting the capability of the tracker improves the ability of the platform to identify possible threats and consequently, enhance situational awareness.

Paper Details

Date Published: 19 May 2015
PDF: 10 pages
Proc. SPIE 9460, Airborne Intelligence, Surveillance, Reconnaissance (ISR) Systems and Applications XII, 94600G (19 May 2015); doi: 10.1117/12.2176180
Show Author Affiliations
Madeleine G. Sabordo, The Univ. of New South Wales (Australia)
Elias Aboutanios, The Univ. of New South Wales (Australia)

Published in SPIE Proceedings Vol. 9460:
Airborne Intelligence, Surveillance, Reconnaissance (ISR) Systems and Applications XII
Daniel J. Henry; Gregory J. Gosian; Davis A. Lange; Dale Linne von Berg; Thomas J. Walls; Darrell L. Young, Editor(s)

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