An investigation of the SFIMM algorithm for tracking manoeuvring targets

Author

Lin, Horng-Jyh ; Atherton, D.P.

Author_Institution

Sch. of Eng. & Appl. Sci., Sussex Univ., Brighton, UK

fYear

1993

fDate

15-17 Dec 1993

Firstpage

930

Abstract

The paper discusses a selected filter interacting multiple model (SFIMM) algorithm for tracking a target manoeuvring in the X-Y plane. The SFIMM algorithm is a modified IMM algorithm which uses a subset of filters with the specific subset chosen by decision rules. Particular attention is focussed on the design parameters of the SFIMM algorithm, namely the subset type and the decision rule. The simulation results show that a considerable improvement in computation efficiency can be obtained with an SFIMM algorithm compared with a standard IMM algorithm with little degradation in tracking performance

Keywords

decision theory; filtering and prediction theory; probability; tracking; X-Y plane.; computation efficiency; decision rules; filters; interacting multiple model algorithm; likelihood function; manoeuvring target tracking; selected filter interacting multiple model algorithm; Acceleration; Algorithm design and analysis; Degradation; Filters; Mathematical model; Noise measurement; Standards publication; Target tracking; Testing; White noise;

fLanguage

English

Publisher

ieee

Conference_Titel

Decision and Control, 1993., Proceedings of the 32nd IEEE Conference on

Conference_Location

San Antonio, TX

Print_ISBN

0-7803-1298-8

Type

conf

DOI

10.1109/CDC.1993.325009

Filename

325009