Enabling location and environment awareness in cognitive radios
Computer Communications
Location aware computing for academic environments
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Error analysis of non-collaborative wireless localization in circular-shaped regions
Computer Networks: The International Journal of Computer and Telecommunications Networking
A comprehensive multi-factor analysis on RFID localization capability
Advanced Engineering Informatics
Hybrid RSS-RTT localization scheme for indoor wireless networks
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REALWSN'10 Proceedings of the 4th international conference on Real-world wireless sensor networks
IRW: low-cost localization with error control in fading environments
WASA'11 Proceedings of the 6th international conference on Wireless algorithms, systems, and applications
Kernel-based particle filtering for indoor tracking in WLANs
Journal of Network and Computer Applications
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Theoretical entropy assessment of fingerprint-based Wi-Fi localization accuracy
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Access Point Height Based Location Accuracy Characterization in LOS and OLOS Scenarios
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Genetic Algorithm-based Adaptive Optimization for Target Tracking in Wireless Sensor Networks
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Weighted Linear Least Square Localization Algorithms for Received Signal Strength
Wireless Personal Communications: An International Journal
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Recently, received signal strength (RSS)-based location estimation technique has been proposed as a low-cost, low-complexity solution for many novel location-aware applications. In the existing studies, radio propagation pathloss model is assumed known a priori, which is an oversimplification in many application scenarios. In this paper we present a detailed study on the RSS-based joint estimation of unknown location coordinates and distance-power gradient, a parameter of pathloss model. A nonlinear least-square estimator is presented and the performance of the algorithm is studied based on CRB and various simulation results. From simulation results it is shown that the proposed joint estimator is especially useful for location estimation in unknown or changing environments