This paper investigates the linear separation requirements for Angle-of-Arrival (AoA) sensors, in order to achieve the optimal performance in estimating the position of a target from multiple and typically noisy sensor measurements. We analyse the sensor-target geometry in terms of the Cramer-Rao inequality and the corresponding Fisher information matrix, in order to characterize localization performance with respect to the linear spacial distribution. Here we consider a situation where one sensor is fixed and the rest are free to be positioned in a linear array.
History
Event
International Conference on Intelligent Sensors, Sensor Networks and Information Processing (6th : 2010 : Brisbane, QLD.)
Pagination
187 - 192
Publisher
IEEE
Location
Brisbane, QLD.
Place of publication
United States
Start date
2010-12-07
End date
2010-12-10
ISBN-13
9781424471768
ISBN-10
1424471761
Language
eng
Publication classification
E1 Full written paper - refereed
Copyright notice
2010, IEEE
Editor/Contributor(s)
S Marusic, M Palaniswami, J Gubbi, P Corke
Title of proceedings
ISSNIP 2010 : Proceedings of the 6th International Conference on Intelligent Sensors, Sensor Networks and Information Processing