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Wireless localization using the received signal strength (RSS) can have tremendous savings over using specialized positioning infrastructures. In this work, we explore improving RSS localization performance in multipath environments by varying the transmitter's signal power and frequency. We first derive and analyze the Cramér-Rao Lower Bound (CRLB) of RSS-based localization based on the frequency...
Wireless localization using the received signal strength (RSS) can have tremendous savings over using specialized positioning infrastructures. In this work, we explore improving RSS localization performance in multipath environments by varying the transmitter's signal power and frequency. Using a theoretical analysis, we first show how selection of different signal powers and frequencies can improve...
Wireless signal propagation in indoor environments is generally affected by various factors such as multi-path fading, temperature and humidity. It is thus challenging to use the simple metric of Received Signal Strength (RSS) for indoor localization. Prior work often requires manual profiling of each indoor environment to achieve good accuracy. We, instead, propose a simple generic localization algorithm...
The impacts of the simulated domain range, mesh density, turbulence models, and discretization scheme on the accuracy of the computational results for characteristics of pumped storage intakes have been investigated separately. It is shown that, all of these factors have effect on the simulation accuracy. Insufficient domain range of the forebay would results in totally wrong conclusion. The results...
In this paper we propose using algorithm aggregation to improve signal strength based localization performance. Prior work comparing a spectrum of received signal strength (RSS) based localization algorithms concluded that their performance is strikingly similar and none of them manage to localize objects accurately all the time. We, however, show that despite such similarity in average localization...
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