With the recent advent of moderate-cost unmanned (or uninhabited) aerial vehicles (UAV) and their success in surveillance, it is natural to consider the cooperative management of groups of UAVs. The problem considered in this paper is the optimization of the information obtained by a group of UAVs carrying out surveillance of several ground targets distributed over a large area. The UAVs are assumed to be equipped with ground moving target indicator (GMTI) radars, which measure the locations of moving ground targets as well as their radial velocities. In this research, the Fisher information, obtained from the information form of Riccati equation, is used in the objective function. Sensor survival probability and target detection probability for each target-sensor pair are also included in the objective function. The optimal sensor placement problem is solved by a combination of deterministic as well as randomized optimization. Simulation results on two different scenarios are presented for four different types of prior information.
Optimal cooperative placement of GMTI UAVs for ground target tracking
2004 IEEE Aerospace Conference Proceedings (IEEE Cat. No.04TH8720) ; 3 ; 1859-1868 Vol.3
2004-01-01
526004 byte
Conference paper
Electronic Resource
English
6.0204 Optimal Cooperative Placement of GMTI UAVs for Ground Target Tracking
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