Networked sensor management and data rate control for tracking maneuvering targets

Author

Evans, Robin ; Krishnamurthy, Vikram ; Nair, Girish ; Sciacca, Len

Author_Institution

Nat. ICT Australia Victoria Res. Lab., Univ. of Melbourne, Vic., Australia

Volume

53

Issue

6

fYear

2005

fDate

6/1/2005 12:00:00 AM

Firstpage

1979

Lastpage

1991

Abstract

This paper presents sensor and data rate control algorithms for tracking maneuvering targets. The manuevering target is modeled as a jump Markov linear system. We present novel extensions of the Interacting Multiple Model (IMM), Particle filter tracker, and Probabilistic Data Association (PDA) algorithms to handle sensor and data rate control. Numerical studies illustrate the performance of these sensor and data rate control algorithms.

Keywords

dynamic programming; hidden Markov models; linear systems; optimal control; probability; target tracking; telecommunication control; telecommunication network management; Markov linear system; data rate control; dynamic programming; hidden Markov model; interacting multiple model; maneuvering target tracking; networked sensor management; optimal control; particle filter; probabilistic data association algorithm; sensor selection; Australia; Clutter; Hidden Markov models; Kinematics; Radar measurements; Radar tracking; Sensor systems; State estimation; Target tracking; Velocity measurement; IMM algorithm; PDA algorithm; particle filters; sensor selection; target tracking;

fLanguage

English

Journal_Title

Signal Processing, IEEE Transactions on

Publisher

ieee

ISSN

1053-587X

Type

jour

DOI

10.1109/TSP.2005.847829

Filename

1433130