DocumentCode
3527527
Title
Multiagent self-localization using bearing only measurements
Author
Mengbin Ye ; Anderson, B.D.O. ; Changbin Yu
Author_Institution
Univ. of Auckland, Auckland, New Zealand
fYear
2013
fDate
10-13 Dec. 2013
Firstpage
2157
Lastpage
2162
Abstract
This paper proposes a two stage approach to solving a simple network localization problem arising in the control of multi-vehicle formation shapes using bearing-only measurements. While it is impossible for one agent to localize, in its own coordinate basis, a second agent undergoing arbitrary plane motion using bearing-only measurements, this paper shows how to use a combination of a Fourier Transform and an overdetermined linear system of equations to allow two agents undergoing plane circular motion to localize each other. It is postulated that each agent only knows the parameters fully describing its own motion and must determine enough parameters of the other agent to localize it. A Fourier Transform of the measured bearing is used by each agent to obtain an approximate magnitude of the other agent´s angular velocity and a two-dimensional search grid is used in an overdetermined linear equation system to solve the localization problem. The paper investigates the effect of noise in bearing measurements on the accuracy of the proposed method, offering some potential methods of decreasing the effect of noise.
Keywords
angular velocity; fast Fourier transforms; mobile robots; multi-robot systems; shape control; agent angular velocity; arbitrary plane motion; bearing-only measurements; coordinate basis; fast Fourier transform; linear equation system; multiagent self-localization; multivehicle formation shape control; network localization problem; plane circular motion; two-dimensional search grid; two-stage approach; Accuracy; Angular velocity; Equations; Mathematical model; Noise; Orbits; Time measurement;
fLanguage
English
Publisher
ieee
Conference_Titel
Decision and Control (CDC), 2013 IEEE 52nd Annual Conference on
Conference_Location
Firenze
ISSN
0743-1546
Print_ISBN
978-1-4673-5714-2
Type
conf
DOI
10.1109/CDC.2013.6760201
Filename
6760201
Link To Document