An adaptive estimation algorithm for maneuvering target tracking

Author

Grishin, Yuri P. ; Janczak, Dariusz

Author_Institution

Dept. of Electr. Eng., Bialystok Tech. Univ., Poland

Volume

2

fYear

2000

fDate

2000

Firstpage

534

Abstract

A novel maneuvering target tracking algorithm based on a model of a dynamical system with changing structure is considered. Such a model incorporates both the random and deterministic character of changes. Using this approach enables one to work out relatively simple recursive algorithms which can be easily carried out in parallel implementation using the DSP units. The simulation results of the algorithm implementation are presented. The comparative analysis has revealed better performance characteristics of the proposed algorithm in comparison with the interactive multiple model (IMM) approach.

Keywords

adaptive estimation; adaptive signal processing; parallel algorithms; random processes; recursive estimation; target tracking; DSP units; IMM; adaptive estimation algorithm; deterministic changes; dynamical system; interactive multiple model; maneuvering target tracking algorithm; parallel algorithm implementation; performance; random changes; recursive algorithms; simulation results; Adaptive estimation; Additives; Covariance matrix; Digital signal processing; Equations; Filtering; Mathematical model; State estimation; Target tracking; White noise;

fLanguage

English

Publisher

ieee

Conference_Titel

Electrotechnical Conference, 2000. MELECON 2000. 10th Mediterranean

Print_ISBN

0-7803-6290-X

Type

conf

DOI

10.1109/MELCON.2000.879988

Filename

879988