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Interacting multiple bias model algorithm with application to tracking maneuvering targets

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2 Author(s)
Blair, W.D. ; US Naval Surface Warfare Center, Dahlgreen, VA, USA ; Watson, G.A.

The interacting multiple bias model (IMBM) algorithm is presented as an approach to state estimation for systems with Markovian switching coefficients that can be isolated to a system bias. The IMBM algorithm utilizes the interacting multiple model (IMM) algorithm and recent developments in two-stage state estimation. The IMBM algorithm is well suited for tracking maneuvering targets, where the target acceleration is modeled as a system bias. This algorithm is called the interacting multiple acceleration model (IMAM) algorithm. Simulation results for comparing the performances of the IMM and IMAM algorithms are given, together with a computational count for the two algorithms which indicate that the IMAM algorithm requires approximately 43% of the computations of the IMM algorithm when a constant velocity and two constant accelerations models are used

Published in:

Decision and Control, 1992., Proceedings of the 31st IEEE Conference on

Date of Conference:

1992