† This paper is an extended version of our paper published in Fidan, B.; Umay, I. Adaptive source localization with unknown permittivity and path loss coefficients. In Proceedings of the 2015 IEEE International Conference on Mechatronics, Nagoya, Japan, 6-8 March 2015; pp. 170-175. Abstract: Accurate signal-source and signal-reflector target localization tasks via mobile sensory units and wireless sensor networks (WSNs), including those for environmental monitoring via sensory UAVs, require precise knowledge of specific signal propagation properties of the environment, which are permittivity and path loss coefficients for the electromagnetic signal case. Thus, accurate estimation of these coefficients has significant importance for the accuracy of location estimates. In this paper, we propose a geometric cooperative technique to instantaneously estimate such coefficients, with details provided for received signal strength (RSS) and time-of-flight (TOF)-based range sensors. The proposed technique is integrated to a recursive least squares (RLS)-based adaptive localization scheme and an adaptive motion control law, to construct adaptive target localization and adaptive target tracking algorithms, respectively, that are robust to uncertainties in aforementioned environmental signal propagation coefficients. The efficiency of the proposed adaptive localization and tracking techniques are both mathematically analysed and verified via simulation experiments.
Fidan REF used a geometric cooperative technique and path-loss model to estimate in real time the time-consuming coefficient of path-loss in ranging sensors, the simulation results indicated that the proposed approach can effectively adapt to uncertainty of the loss factor in signal propagation.
Adaptive Environmental Source Localization and Tracking with Unknown Permittivity and Path Loss Coefficients †
Sensors
Sensors
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