Ultra-Low-Power Quantized-RSSI-based Localization Using Wake-Up Receivers

Conference: Smart SysTech 2017 - European Conference on Smart Objects, Systems and Technologies
06/20/2017 - 06/21/2017 at Munich, Germany

Proceedings: ITG-Fb. 273: Smart SysTech 2017

Pages: 7Language: englishTyp: PDF

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Babik, Toni; Milosiu, Heinrich; Oehler, Frank (Integrated Circuits and Systems Department Fraunhofer Institute for Integrated Circuits IIS, Erlangen, Germany)

Localization capability is a key feature within the developing Internet of Things. This paper proposes an optimal and efficient system solution, based on ultra-low-power wake-up receiver hardware. To that end, a beacon-based quantized-RSSI maximum likelihood approach is employed. Measurements leading to an adapted log-distance path loss model are presented for an exemplary warehouse test environment, forming the basis for the statistical derivations. It is further shown that the hardware-imposed quantization of input power measurements does not significantly impair localization accuracy, while enabling efficient integration of the algorithm. Measurements confirm a mean error of 0.86 meters, with 80 % of distance errors below 1 m.