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Power Measurement System in a Microwave Link using SDR for Rain Rate Estimation.

Abstract:

This paper presents the design, implementation, and validation of a power measurement system using Software Defined Radio (SDR). The system was implemented in an 18 km radio link operating in the 5 GHz frequency band, considering a tropical urban environment in the cities of Guayaquil and Duran, in Ecuador. The system was implemented using LabVIEW and the NI-USRP 2921, together with a cooling system and a LM35 sensor that allow to control the temperature of the receiver station, so that the sensed data is not affected by the SDR device's local oscillator variations. After the implementation, the system was validated by comparing the estimated rain rate using the ITU-R P.838 recommendation with the attenuation values derived from power measurements during the rainy season of year 2017, and the actual average rain rate given by four rain gauges installed along the propagation path [1]. Finally, as a second validation step, the recurrent neural network (RNN) algorithm was used with the long short-term memory (LSTM) one to pbkp_redict the attenuation values of the wireless link.