RT Journal Article
SR Electronic
A1 Zarikas, Vasilios
A1 Chrysikos, Theofilos
A1 Anagnostou, Konstantinos E.
A1 Kotsopoulos, Stavros
A1 Avlakiotis, Panagiotis
A1 Liolios, Charalambos
A1 Latsos, Theodoros
A1 Perantzakis, Georgios
A1 Lygdis, Athanasios
A1 Antoniou, Dimitirios
A1 Lykourgiotis, Asimakis
T1 Wireless Telemetry: Channel Characterization and Statistical Imputation of Missing Values
JF Communications - Scientific Letters of the University of Zilina
YR 2015
VO 17
IS 11
SP 58
OP 65
DO 10.26552/com.C.2015.1A.58-65
UL https://komunikacie.uniza.sk/artkey/csl-201511-0009.php
AB An implemented communication wireless telemetric system is presented. It has been built to serve as a measuring station at Thermopiles hot springs. The present work analyzes the method applying several models for adjusting and optimizing the functions of the system. The system also includes a unit that receives and stores data in an appropriate form, ready to be used for statistics. Data of critical physicochemical parameters are continuously measured, processed and transmitted over a wireless link. Path loss is investigated in order to ensure reliable signal reception. In the examined case study of low SNR region with the integrated in the open field sensors, missing data can be a common occurrence. The development of a mathematical technique, based on best prediction, for mitigating the missing values problem is of great significance in establishing a reliable system of wireless telemetry. A novel technique for handling missing values is proposed. An algorithm that evaluates missing values for imputation has been developed, based on a new general linear model analysis for prediction. The full detailed code, is explained and applied on the data that have been captured by the measuring station.