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International Conference on Information Technology & Systems

ICITS 2018: Proceedings of the International Conference on Information Technology & Systems (ICITS 2018) pp 823–832Cite as

An Adaptive-Bounds Band-Pass Moving-Average Filter to Increase Precision on Distance Estimation from Bluetooth RSSI

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 721))

Abstract

Estimating distance from RSSI is not a straightforward task, especially when using consumer devices. The signal presents large levels of noise, and it is heavily affected by the conditions of the environment and by the devices themselves. In this paper we characterize experimentally different conditions of this noise, then we propose a filter to reduce it and to smooth and stabilize the signal; finally, we apply the filter to our test environment and validate its data. The experimental results showed that the filter has notorious benefits on precision when estimating distance from RSSI signal.

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Author information

Authors and Affiliations

  1. Computer Science Department, Universidad Tecnológica Equinoccial, Quito, Ecuador

    Diego Ordóñez-Camacho & Edwin Cabrera-Goyes

Authors
  1. Diego Ordóñez-Camacho
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  2. Edwin Cabrera-Goyes
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Corresponding author

Correspondence to Diego Ordóñez-Camacho .

Editor information

Editors and Affiliations

  1. DEI/FCT, Universidade de Coimbra, Coimbra, Portugal

    Álvaro Rocha

  2. Systems Department, Universidad Estatal Península de Santa Elena, La Libertad, Ecuador

    Teresa Guarda

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Ordóñez-Camacho, D., Cabrera-Goyes, E. (2018). An Adaptive-Bounds Band-Pass Moving-Average Filter to Increase Precision on Distance Estimation from Bluetooth RSSI. In: Rocha, Á., Guarda, T. (eds) Proceedings of the International Conference on Information Technology & Systems (ICITS 2018). ICITS 2018. Advances in Intelligent Systems and Computing, vol 721. Springer, Cham. https://doi.org/10.1007/978-3-319-73450-7_78

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  • DOI: https://doi.org/10.1007/978-3-319-73450-7_78

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-73449-1

  • Online ISBN: 978-3-319-73450-7

  • eBook Packages: EngineeringEngineering (R0)

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