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Institutional Repository [SANDBOX]
Technical University of Crete
Technical University of Crete
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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 | ||
| Appears in Collections |
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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