Optimal sensor placement in linear arrays: Part I - AoA based localization
In this paper, we examine the optimal linear separation requirements for AoA sensors, in order to achieve the best performance in estimating the position of a target subjected to noisy measurements. Cramer-Rao inequality and the corresponding Fisher information matrix are used to analyze the sensor-...
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creator | Herath, S. C. K. Pathirana, P. N. |
description | In this paper, we examine the optimal linear separation requirements for AoA sensors, in order to achieve the best performance in estimating the position of a target subjected to noisy measurements. Cramer-Rao inequality and the corresponding Fisher information matrix are used to analyze the sensor-target geometry, in order to characterize localization performance with respect to the linear spacial distribution of sensors. |
doi_str_mv | 10.1109/ISSNIP.2011.6146553 |
format | Conference Proceeding |
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C. K.</creatorcontrib><creatorcontrib>Pathirana, P. N.</creatorcontrib><title>Optimal sensor placement in linear arrays: Part I - AoA based localization</title><title>2011 Seventh International Conference on Intelligent Sensors, Sensor Networks and Information Processing</title><addtitle>ISSNIP</addtitle><description>In this paper, we examine the optimal linear separation requirements for AoA sensors, in order to achieve the best performance in estimating the position of a target subjected to noisy measurements. 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N.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Optimal sensor placement in linear arrays: Part I - AoA based localization</atitle><btitle>2011 Seventh International Conference on Intelligent Sensors, Sensor Networks and Information Processing</btitle><stitle>ISSNIP</stitle><date>2011-12</date><risdate>2011</risdate><spage>277</spage><epage>281</epage><pages>277-281</pages><isbn>145770675X</isbn><isbn>9781457706752</isbn><eisbn>9781457706745</eisbn><eisbn>1457706733</eisbn><eisbn>9781457706738</eisbn><eisbn>1457706741</eisbn><abstract>In this paper, we examine the optimal linear separation requirements for AoA sensors, in order to achieve the best performance in estimating the position of a target subjected to noisy measurements. Cramer-Rao inequality and the corresponding Fisher information matrix are used to analyze the sensor-target geometry, in order to characterize localization performance with respect to the linear spacial distribution of sensors.</abstract><pub>IEEE</pub><doi>10.1109/ISSNIP.2011.6146553</doi><tpages>5</tpages></addata></record> |
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subjects | Array signal processing Estimation Geometry Sensor arrays Silicon Target tracking |
title | Optimal sensor placement in linear arrays: Part I - AoA based localization |
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