Compensation of the Antenna Polarization Misalignment in the RSSI Estimation

D. Polese, L. Pazzini, A. Minotti, L. Maiolo, A. Pecora

2014

Abstract

The diffusion of wireless sensor networks has allowed the development of a plethora of indoor localization algorithms based on these technologies. Also if several radio signal features have been exploited in order to estimate the position, the Received Signal Strength (RSS) is probably the most used. RSS depends, in addition to the distance, also on multipath transmission, barriers and non-idealities of antenna. Differences between ideal and real omnidirectional transmission patterns or polarization angle misalignment can strongly affect the RSS value impairing the following localization algorithm. In this paper, an algorithm to compensate the dependence of the RSS on the angle among the antennas is proposed and tested. The experimental results prove the goodness of the approach and the possibility of using this algorithm to minimize the dependence of RSS from the tilting angle among the nodes of a localization sensor network.

Paper Citation

in Harvard Style

Polese D., Pazzini L., Minotti A., Maiolo L. and Pecora A. (2014). Compensation of the Antenna Polarization Misalignment in the RSSI Estimation . In Proceedings of the 3rd International Conference on Sensor Networks - Volume 1: SENSORNETS, ISBN 978-989-758-001-7, pages 263-267. DOI: 10.5220/0004810202630267

in Bibtex Style

@conference{sensornets14,
author={D. Polese and L. Pazzini and A. Minotti and L. Maiolo and A. Pecora},
title={Compensation of the Antenna Polarization Misalignment in the RSSI Estimation},
booktitle={Proceedings of the 3rd International Conference on Sensor Networks - Volume 1: SENSORNETS,},
year={2014},
pages={263-267},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004810202630267},
isbn={978-989-758-001-7},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 3rd International Conference on Sensor Networks - Volume 1: SENSORNETS,
TI - Compensation of the Antenna Polarization Misalignment in the RSSI Estimation
SN - 978-989-758-001-7
AU - Polese D.
AU - Pazzini L.
AU - Minotti A.
AU - Maiolo L.
AU - Pecora A.
PY - 2014
SP - 263
EP - 267
DO - 10.5220/0004810202630267