Improved particle filters for ballistic target tracking

Author

Bruno, Marcelo G S ; Pavlov, Anton

Author_Institution

Instituto Tecnologico de Aeronautica, Sao Jose Dos Campos, Brazil

Volume

2

fYear

2004

fDate

17-21 May 2004

Abstract

We present in this paper two improved particle filter algorithms for ballistic target tracking. The first algorithm is a sampling/importance resampling (SIR) filter that uses an optimized importance function plus residual resampling to combat particle degeneracy, and also incorporates a Metropolis-Hastings (MH) move step to reduce particle impoverishment. The second proposed algorithm is an auxiliary particle filter (APF). Both algorithms show good performance results when compared to the ideal posterior Cramer-Rao lower bound for the mean square estimation error.

Keywords

ballistics; importance sampling; mean square error methods; nonlinear filters; optimisation; radar signal processing; radar theory; radar tracking; target tracking; Metropolis-Hastings move step; auxiliary particle filter; ballistic target tracking; mean square estimation error; optimized importance function; particle degeneracy; particle filters; particle impoverishment; performance; residual resampling; sampling/importance resampling filter; Atmosphere; Mean square error methods; Monte Carlo methods; Particle filters; Particle tracking; Radar measurements; Radar tracking; Sampling methods; State estimation; Target tracking;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 2004. Proceedings. (ICASSP '04). IEEE International Conference on

ISSN

1520-6149

Print_ISBN

0-7803-8484-9

Type

conf

DOI

10.1109/ICASSP.2004.1326355

Filename

1326355