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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Bibliographische Detailangaben
Hauptverfasser: Herath, S. C. K., Pathirana, P. N.
Format: Tagungsbericht
Sprache:eng
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Zusammenfassung: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:10.1109/ISSNIP.2011.6146553