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An adaptive state estimation solution to the maneuvering target problem

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1 Author(s)
Moose, R.L. ; Virginia Polytechnic Institute and State University, Blacksburg, VA, USA

A new approach to tracking a maneuvering target is presented. Modeling the randomly varying target as a semi-Markov process and then incorporating the statistics into the design of an adaptive state estimator produced an estimation scheme that greatly reduced the large bias errors that usually appear when a target makes an unexpected, large-scale maneuver.

Published in:

Automatic Control, IEEE Transactions on  (Volume:20 ,  Issue: 3 )