Fundamentals of statistical signal processing: estimation theory
Fundamentals of statistical signal processing: estimation theory
Relative location estimation in wireless sensor networks
IEEE Transactions on Signal Processing
IEEE Communications Magazine
Ranging in a dense multipath environment using an UWB radio link
IEEE Journal on Selected Areas in Communications
Multiple-access insights from bounds on sensor localization
Pervasive and Mobile Computing
Localization performance comparison using optimal and sub-optimal lateration in WSNs
APCC'09 Proceedings of the 15th Asia-Pacific conference on Communications
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In this paper, we build on known bounds on localization in sensor networks and provide new insights that can be used in multiple-access design from a localization perspective. Specifically, we look at the Cramer-Rao lower bound (CRLB) for the estimation of a sensor's location given unbiased Gaussian range estimates from a set of location-aware "anchor" nodes. A novel characterization of the accuracy of sensor location-estimates is derived, which provides new insights into the design of multiple-access schemes from the perspective of sensor localization accuracy. These insights are validated through the investigation of the performance of a spread-spectrum based multiple-access scheme in an ultra-wideband sensor network.