A tracking algorithm for both highly maneuvering and nonmaneuvering targets

Presents a modified version of the adaptive interacting multiple model (AIMM) algorithm, to enable tracking of both highly maneuvering and nonmaneuvering targets. The improvements include the addition of an adaptive sampling policy and a different gain calculation for the bias filter. The efficiency...

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Bibliographic Details
Published inProceedings of the 36th IEEE Conference on Decision and Control Vol. 4; pp. 3150 - 3155 vol.4
Main Authors Efe, M., Atherton, D.P.
Format Conference Proceeding
LanguageEnglish
Published IEEE 1997
Subjects
Acceleration
Adaptive filters
Benchmark testing
Motion estimation
Phased arrays
Radar tracking
Sampling methods
Target tracking
Technological innovation
Turning
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ISBN0780341872
9780780341876
ISSN0191-2216
DOI10.1109/CDC.1997.652326

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Summary:Presents a modified version of the adaptive interacting multiple model (AIMM) algorithm, to enable tracking of both highly maneuvering and nonmaneuvering targets. The improvements include the addition of an adaptive sampling policy and a different gain calculation for the bias filter. The efficiency of the algorithm has been tested on the benchmark problem of the beam pointing control of a phased array radar. Comparisons with the algorithm utilizing fixed sampling rates are also given. The solutions obtained for the benchmark problem, which has many practical implementation aspects, compare very favourably with previous results.
ISBN:0780341872
9780780341876
ISSN:0191-2216
DOI:10.1109/CDC.1997.652326