Performance Analysis for Path Attenuation Estimation of Microwave Signals Due to Rainfall and Beyond

Research output: Chapter in Book/Conference paperConference paper

Abstract

The attenuation of microwave signals can be used for meteorological observations. For example, the received signal level (RSL) of backhaul links of cellular systems, which usually has a quantization error of 0.1 dB or more for commercial systems, has been used to measure rainfall. In this work, through the mean square error (MSE) analysis of an ideal RSL estimator, it is found that the estimation error can be lower than 0.01 dB for high signal-to-noise ratio (SNR), thereby making it feasible to measure other meteorological variables such as water vapor and clouds. However, the RSL-based estimator has poor performance in low SNR. To improve the performance, we propose a new path attenuation measurement method based on SNR estimation. Although the performance of the SNR-based estimator is better than the RSL based one for low SNR, it becomes worse in high SNR when the path attenuation is small. To solve the problem, another method is proposed based on estimating the signal power (SP) only. Both MSE analysis and simulation results show that the SP-based method is superior to both RSL and SNR based estimators for most scenarios.
Original languageEnglish
Title of host publicationICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Place of PublicationUSA
PublisherIEEE, Institute of Electrical and Electronics Engineers
Pages9016-9020
DOIs
Publication statusPublished - 2020
Event2020 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2020 - Barcelona, Spain
Duration: 4 May 20208 May 2020

Conference

Conference2020 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2020
Abbreviated titleICASSP 2020
CountrySpain
CityBarcelona
Period4/05/208/05/20

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