3 September 1998 Comparison of various schema of filter adaptivity for the tracking of maneuvering targets
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Abstract
Tracking maneuvering targets is a complex problem which has generated a great deal of effort over the past several years. It has now been well established that in terms of tracking accuracy, the Interacting Multiple Model (IMM) algorithm, where state estimates are mixed, performs significantly better for maneuvering targets than other types of filters. However, the complexity of the IMM algorithm can prohibit its use in these applications of which similar algorithms cannot provide the necessary accuracy and which can ont afford the computational load of IMM algorithm. This paper presents the evaluation of the tracking accuracy of a multiple model track filter using three different constant-velocity models running in parallel and a maneuver detector. The output estimate is defined by selecting the model whose likelihood function is lower than a target maneuver threshold.
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Alexandre Jouan, Eloi Bosse, Marc-Alain Simard, Elisa Shahbazian, "Comparison of various schema of filter adaptivity for the tracking of maneuvering targets", Proc. SPIE 3373, Signal and Data Processing of Small Targets 1998, (3 September 1998); doi: 10.1117/12.324624; https://doi.org/10.1117/12.324624
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KEYWORDS
Motion models

Detection and tracking algorithms

Electronic filtering

Digital filtering

Filtering (signal processing)

Performance modeling

Sensors

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