DocumentCode :
720496
Title :
Airborne multisensor management for multitarget tracking
Author :
Youngjoo Kim ; Hyochoong Bang
Author_Institution :
Korea Adv. Inst. of Sci. & Technol., Daejeon, South Korea
fYear :
2015
fDate :
9-12 June 2015
Firstpage :
751
Lastpage :
756
Abstract :
This paper proposed a framework for airborne multisensor management for multitarget tracking, considering each of multiple unmanned aircraft as a sensor. The purpose of the algorithm is to quantify the performance of the multitarget tracking and to determine the time and location of the sensor deployment. Utilizing the posterior Cramer-Rao lower bound, the inverse of the Fisher information matrix, the performance metric and the optimization technique for the airborne sensor system are newly defined. An example for implementing the proposed multisensor management algorithm is given with simulation results.
Keywords :
aircraft control; autonomous aerial vehicles; matrix algebra; optimisation; sensor fusion; sensor placement; target tracking; Cramer-Rao lower bound; Fisher information matrix; airborne multisensor management; airborne sensor system; multitarget tracking; optimization technique; performance metric; sensor deployment location; sensor deployment time; unmanned aircraft; Atmospheric modeling; Covariance matrices; Mathematical model; Multisensor systems; Optimization; Target tracking; Unmanned aerial vehicles;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Unmanned Aircraft Systems (ICUAS), 2015 International Conference on
Conference_Location :
Denver, CO
Print_ISBN :
978-1-4799-6009-5
Type :
conf
DOI :
10.1109/ICUAS.2015.7152358
Filename :
7152358
Link To Document :
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