Title
Estimation and Optimal Configurations for Localization Using Cooperative UAVs
Abstract
The time-difference of arrival techniques are adapted to locate networked enemy radars using a cooperative team of unmanned aerial vehicles. The team is engaged in deceiving the radars, which limits where they can fly and requires accurate radar positions to be known. Two time-differences of radar pulse arrivals at two vehicle pairs are used to localize one of the radars. An explicit solution for the radar position in polar coordinates is developed. The solution is first used for position estimation given ldquonoisyrdquo measurements, which shows that the vehicle trajectories significantly affect estimation accuracy. Analyzing the explicit solution leads to the angle rule, which gives the optimal vehicle configuration for the angle estimate. Analyzing the fisher Information matrix leads to the coordinate rule, which gives a different optimal configuration for the position estimate. A linearized time-varying model is also formulated and an extended Kalman filter applied. This estimation scheme is compared with the earlier one, with the second showing overall improvement in reducing the variance of the estimate.
Year
DOI
Venue
2008
10.1109/TCST.2007.916348
IEEE Trans. Contr. Sys. Techn.
Keywords
Field
DocType
Radar tracking,Unmanned aerial vehicles,Imaging phantoms,Target tracking,Filtering,Synchronization,Extraterrestrial measurements,Clocks,Position measurement,Information analysis
Radar,Extended Kalman filter,Radar tracker,Control theory,Kalman filter,Control engineering,Polar coordinate system,Optimal estimation,Fisher information,Electronic warfare,Mathematics
Journal
Volume
Issue
ISSN
16
5
1063-6536
Citations 
PageRank 
References 
12
1.38
6
Authors
3
Name
Order
Citations
PageRank
Keith B. Purvis1121.38
Karl J. Åström2609.99
Mustafa Khammash333349.06