A tracking algorithm for both highly maneuvering and nonmaneuvering targets

Author

Efe, Murat ; Atherton, Derek P.

Author_Institution

Sch. of Eng., Sussex Univ., Brighton, UK

Volume

4

fYear

1997

fDate

10-12 Dec 1997

Firstpage

3150

Abstract

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

Keywords

Kalman filters; adaptive radar; filtering theory; phased array radar; radar tracking; state estimation; adaptive interacting multiple model algorithm; adaptive sampling policy; beam pointing control; bias filter; fixed sampling rates; highly maneuvering targets; nonmaneuvering targets; phased array radar; tracking algorithm; Acceleration; Adaptive filters; Benchmark testing; Motion estimation; Phased arrays; Radar tracking; Sampling methods; Target tracking; Technological innovation; Turning;

fLanguage

English

Publisher

ieee

Conference_Titel

Decision and Control, 1997., Proceedings of the 36th IEEE Conference on

Conference_Location

San Diego, CA

ISSN

0191-2216

Print_ISBN

0-7803-4187-2

Type

conf

DOI

10.1109/CDC.1997.652326

Filename

652326