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 (Doppler). 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, where the detection probability is a function of both range and range rate. The optimal sensor placement problem is solved by a genetic algorithm based optimizer. Simulation results on two different scenarios are presented for four different types of prior information.

Date Published: 9 August 2004
PDF: 10 pages
Proc. SPIE 5429, Signal Processing, Sensor Fusion, and Target Recognition XIII, (9 August 2004); doi: 10.1117/12.542903

Published in SPIE Proceedings Vol. 5429:
Signal Processing, Sensor Fusion, and Target Recognition XIII
Ivan Kadar, Editor(s)