In this paper, we propose a distributed gradient algorithm for received signal strength based target localization using only quantized data.
This paper first design a quantizer for efficiently processing the raw RSS measurements and then develop a novel Bayesian CS framework for estimating target ...
Zeyuan Li, Pei-Jung Chung, Bernard Mulgrew: Distributed target localization using quantized received signal strength. Signal Process. 134: 214-223 (2017).
In this study, the data set of received signal strength (RSS) and time of arrival (TOA) measurements is obtained by using the test setup with ZigBee devices for ...
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What is received signal strength localization?
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Signal Processing, http://dx.doi.org/10.1016/j.sigpro.2016.12.003. This is a PDF file of an unedited manuscript that has been accepted for publication.
We found that, if a quantized RSS fingerprint can carry the major characteristics of a radio environment, it is sufficient for localization. Five publicly open ...
Mulgrew, “Distributed target localization using quantized received signal strength,” Signal Process., vol. 134, no. C, pp. 214–223, May 2017. [2] E. Lohan ...
The subject of this thesis is the development of localization algorithms for target localization in wireless sensor networks using received signal strength (RSS) ...
In this paper, an overview of recent developments in received-signal-strength (RSS)-based localization in wireless sensor networks is presented.
May 8, 2019 · The received signal strength (RSS)-based target localization is an important field of research with numerous applications in wireless sensor ...