Optimal sensor separation for AoA based localization via linear sensor array

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 in...

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Hauptverfasser:	Herath, S C K, Pathirana, P N
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Arrays Covariance matrix Estimation Geometry Linear matrix inequalities Silicon Trajectory
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creator	Herath, S C K Pathirana, P N
description	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.
doi_str_mv	10.1109/ISSNIP.2010.5706762
format	Conference Proceeding
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source	IEEE Electronic Library (IEL) Conference Proceedings
subjects	Arrays Covariance matrix Estimation Geometry Linear matrix inequalities Silicon Trajectory
title	Optimal sensor separation for AoA based localization via linear sensor array
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