Moving target localization by cooperation of multiple flying vehicles

Author

Esmailifar, Sayyed ; Saghafi, Fariborz

Author_Institution

Dept. of Aerosp. Eng., Sharif Univ. of Technol., Tehran, Iran

Volume

51

Issue

1

fYear

2015

fDate

Jan-15

Firstpage

739

Lastpage

746

Abstract

An algorithm, by cooperation of multiple flying vehicles, is developed to localize a moving target in the presence of measurement noise and mis-modeling. It works based on jointly sharing information and data fusion by using a recursive Bayesian estimator and a searching guidance law to direct each flying vehicle to a position where the probability of target detection is maximum. To evaluate this algorithm, a high fidelity simulation program with six degrees of freedom dynamics is also developed.

Keywords

Bayes methods; aircraft navigation; autonomous aerial vehicles; object detection; recursive estimation; sensor fusion; sensor placement; space vehicles; data fusion; freedom dynamics; high fidelity simulation program; information sharing; measurement mismodeling; measurement noise; moving target localization; multiple flying vehicles cooperation; recursive Bayesian estimator; target detection probability; Atmospheric modeling; Bayes methods; Monte Carlo methods; Noise; Sensors; Trajectory; Vehicles;

fLanguage

English

Journal_Title

Aerospace and Electronic Systems, IEEE Transactions on

Publisher

ieee

ISSN

0018-9251

Type

jour

DOI

10.1109/TAES.2014.130168

Filename

7073526