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Transactions on Machine Design (TMD)

Temperature Measurement using Neural Network and Prediction of External Noise

Ivan Milovanovic, Zoran Stankovic, Marija Agatonovic and Marija Milijic
Ivan Milovanovic is with the Singidunum University DSL center Nis., Faculty of Electronic Engineering, Aleksandra Medvedeva 14, 18000 Nis, Serbia

Abstract: The neural model for measuring the estimation of the microwave-based noise temperature which predicts the external noise level and the receiving point is calculated. The noise effect is considered by us which are protected by the system that produced stable results. We have found out the gasÃ¢â‚¬â„¢s emission from the atmosphere particularly the oxygen and water vapour. With the help of the Multilayer perceptron network, we have created the neural network model for temperature calculation. We have presented the basic design used and training results and testing data in different parts

Keywords: Neural Network, Antenna Noise, Brightness Temperature Temperature Measurement using Neural Network and Prediction of External Noise

DOI:https://doi.org/10.6025/tmd/2023/11/1/12-19

Full_Text PDF 1.46 MB Download: 468 times

References:

[1] Recommendation ITU-R. Radio Noise, 10/2009, 372–310.
[2] Ho, C., Slobin, S. & Gritton, K. (2005). Atmospheric Noise Temperature Induced by Clouds and Other Weather Phenomena at SHF Band (1–45 GHz). California Institute of Technology: Pasadena, USA.
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[7] Milovanovic, I., Stankovic, Z. & Milijic, M. (2012) Efficient estimation of the antenna noise level using neural networks International Scientific Conference on Information, Communication, and Energy Systems and Technologies, Vol. XLVII. ICEST: Veliko Tarnovo, Bulgaria, pp. 291–294.
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