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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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. |
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DOI: | 10.1109/ISSNIP.2011.6146553 |