Title :
RSS-Based Ranging by Multichannel RSS Averaging
Author :
Zanella, A. ; Bardella, Andrea
Author_Institution :
Dept. of Inf. Eng., Univ. of Padova, Padua, Italy
Abstract :
This letter shows that the accuracy of Radio Signal Strength (RSS)-based ranging can be increased by averaging RSS samples collected on different RF channels. Starting from a multi-cluster propagation model, the analysis shows that Multi Channel RSS Average (MCRA) can indeed reduce the component of the RSS variability due to self-interference produced by strong and quasi-static multipath replicas of the received signal, while it is ineffective against fading components caused by obstacles blockage. The theory is backed up by a set of experimental results obtained in different scenarios that confirm the capability of MCRA to effectively reduce RSS variability and increase RSS-based ranging accuracy.
Keywords :
fading channels; radiofrequency interference; RF channels; RSS variability; RSS-based ranging; fading components; multichannel RSS averaging; multicluster propagation model; obstacle blockage; quasi-static multipath replicas; radio signal strength; self-interference; Accuracy; Delays; Distance measurement; Fading; IEEE 802.15 Standards; Wireless communication; Wireless sensor networks; 802.15.4; Multichannel; RSS; Radio Signal Strength; localization; ranging;
Journal_Title :
Wireless Communications Letters, IEEE
DOI :
10.1109/WCL.2013.100913.130631
