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Multistatic narrowband localization in backscatter sensor networks

Vestakis Marios, Alevizos Panagiotis, Vougioukas Georgios, Bletsas Aggelos

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URI: http://purl.tuc.gr/dl/dias/66D69173-B013-41BD-A8C4-56DEB0C2C6DB
Year 2018
Type of Item Conference Full Paper
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Bibliographic Citation M. Vestakis, P. N. Alevizos, G. Vougioukas and A. Bletsas, "Multistatic narrowband localization in backscatter sensor networks," in IEEE 19th International Workshop on Signal Processing Advances in Wireless Communications, 2018. doi: 10.1109/SPAWC.2018.8445895 https://doi.org/10.1109/SPAWC.2018.8445895
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Summary

Recent developments in signal processing for backscatter (or simply scatter) ultra-low power radio sensor networks have dramatically extended their range and coverage; thus, estimating the location of each tag becomes both valuable and challenging. In multistatic architectures, each scatter radio tag reflects the illuminating signals, transmitted from multiple low-cost emitters. The received signal strength (RSS) measurements at a single low-cost reader are used as input in custom particle filtering (PF) algorithms, for tag location estimation. Free-space and two-ray wireless propagation large-scale path-loss models are considered, alongside a small-scale fading model, different PF initialization and resampling techniques and a directional reader antenna model. Extensive simulations for a 100 m x 100 m grid offered root mean squared localization error (RMSE) as low as 1.6 m, with specific PF resampling techniques and exploiting reader antenna directionality. Outdoor experimental results in a 27 m x 32 m grid offered 1.5 m RMSE.

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