Next Article in Journal
Stain Style Transfer for Histological Images Using S3CGAN
Next Article in Special Issue
Comparison of CML Rainfall Data against Rain Gauges and Disdrometers in a Mountainous Environment
Previous Article in Journal
Efficient Beampattern Synthesis for Sparse Frequency Diverse Array via Matrix Pencil Method
Previous Article in Special Issue
A Propagation Study of LoRa P2P Links for IoT Applications: The Case of Near-Surface Measurements over Semitropical Rivers
 
 
Article

Low-Cost Ka-Band Satellite Receiver Data Preprocessing for Tropospheric Propagation Studies

1
atlanTTic Research Center for Telecommunications Technologies, Universidade de Vigo, 36310 Vigo, Spain
2
Indian Institute of Information Technology Kalyani, Kalyani 741235, West Bengal, India
*
Author to whom correspondence should be addressed.
Academic Editors: Chris Rizos and Zahir M. Hussain
Sensors 2022, 22(3), 1043; https://doi.org/10.3390/s22031043
Received: 3 December 2021 / Revised: 24 January 2022 / Accepted: 26 January 2022 / Published: 28 January 2022
(This article belongs to the Special Issue Rain Sensors)
Satellite tropospheric propagation studies strongly rely on beacon receiver measurements. We were interested in performing a measurement campaign to characterize rain attenuation statistics. In this article, we outline some of the characteristics and drawbacks one faces when trying to perform a radio wave satellite beacon propagation experiment at the Ka-band with low-cost measurement equipment. We used an affordable beacon receiver consisting of a commercial low-noise block down-converter, an outdoor dual-reflector antenna, and a software-defined radio unit. To measure rain attenuation events, we needed to work out where the reference signal level was at all times. However, as we did not have a radiometer to remove the impact of gases and clouds, since it is a very expensive device, we used a procedure that involved the subtraction of a stable and reliable reference level (template) from the raw received beacon level. This template was extracted from observations during non-rainy periods. The procedure implemented for extracting the template was based on the same data processing methodology used by other authors in this field. Here, we describe through specific examples the main characteristics of the templates extracted on non-rainy days, as well as the impact of some meteorological parameters and unavoidable, but small antenna pointing errors. View Full-Text
Keywords: beacon receiver; Ka-band; measurement campaign; rain attenuation; satellite measurements; template beacon receiver; Ka-band; measurement campaign; rain attenuation; satellite measurements; template
Show Figures

Figure 1

MDPI and ACS Style

Pastoriza-Santos, V.; Machado, F.; Nandi, D.; Pérez-Fontán, F. Low-Cost Ka-Band Satellite Receiver Data Preprocessing for Tropospheric Propagation Studies. Sensors 2022, 22, 1043. https://doi.org/10.3390/s22031043

AMA Style

Pastoriza-Santos V, Machado F, Nandi D, Pérez-Fontán F. Low-Cost Ka-Band Satellite Receiver Data Preprocessing for Tropospheric Propagation Studies. Sensors. 2022; 22(3):1043. https://doi.org/10.3390/s22031043

Chicago/Turabian Style

Pastoriza-Santos, Vicente, Fernando Machado, Dalia Nandi, and Fernando Pérez-Fontán. 2022. "Low-Cost Ka-Band Satellite Receiver Data Preprocessing for Tropospheric Propagation Studies" Sensors 22, no. 3: 1043. https://doi.org/10.3390/s22031043

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop