Fundamentals of statistical signal processing: estimation theory
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The n-hop multilateration primitive for node localization problems
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Cooperating Embedded Systems and Wireless Sensor Networks
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Sensor Localization under Limited Measurement Capabilities
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Virtual compass: relative positioning to sense mobile social interactions
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Find my stuff: supporting physical objects search with relative positioning
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International Journal of Ad Hoc and Ubiquitous Computing
Beacon selection for localisation in IEEE 802.11 wireless infrastructure
International Journal of Ad Hoc and Ubiquitous Computing
CCA-MAP and iCCA-MAP: stationary and mobile WSN localisation algorithms
International Journal of Autonomous and Adaptive Communications Systems
Weighted Linear Least Square Localization Algorithms for Received Signal Strength
Wireless Personal Communications: An International Journal
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In this paper, we investigate the actual performance of some of the best known localization algorithms when deployed in real-world indoor environments. Among the plethora of possible localization schemes, we focus on those based on radio signal strength measurements only, since they do not require extra circuitry that would result in higher cost and energy consumption. For a fair comparison, we have first gathered thousands of radio signal strength measurements in two different indoor environments. To estimate the channel model parameters and to compare the different localization algorithms these data have been used.