A fast nonlinear filtering algorithm for tracking a target in clutter using the wavelet transform

Author

Chun, Jonghoon ; Chun, Joohwan ; Johnson, Timothy

Author_Institution

Dept. of Electr. Eng., Korea Adv. Inst. of Sci. & Technol., Seoul, South Korea

Volume

1

fYear

1997

fDate

2-5 Nov. 1997

Firstpage

882

Abstract

We present a fast nonlinear filtering algorithm that can track a single target in multiple clutter points. The proposed algorithm propagates the entire conditional probability density functions recursively, but in a computationally efficient manner using either the fast Fourier transform or the fast discrete wavelet-based convolution. Our algorithm does not need the explicit data association step which is in most multiple target tracking filters, and therefore appears to be more natural and robust.

Keywords

clutter; convolution; fast Fourier transforms; nonlinear filters; target tracking; wavelet transforms; clutter; conditional probability density functions; discrete wavelet-based convolution; fast Fourier transform; fast nonlinear filtering algorithm; target; target tracking; tracking; wavelet transform; Convolution; Fast Fourier transforms; Filtering algorithms; Filters; Nonlinear equations; Probability density function; State estimation; State-space methods; Target tracking; Wavelet transforms;

fLanguage

English

Publisher

ieee

Conference_Titel

Signals, Systems & Computers, 1997. Conference Record of the Thirty-First Asilomar Conference on

Conference_Location

Pacific Grove, CA, USA

ISSN

1058-6393

Print_ISBN

0-8186-8316-3

Type

conf

DOI

10.1109/ACSSC.1997.680570

Filename

680570