NDLI: Evaluation of radio propagation parameters for field strength prediction using neural networks

Content Provider	IEEE Xplore Digital Library
Author	Leros, A.P. Alexandridis, A.A. Dangakis, K. Kostarakis, P.
Copyright Year	1998
Description	Author affiliation: Inst. of Inf. & Telecommun., NCSR-"Demokritos", Greece (Leros, A.P.)
Abstract	Radio propagation models for field strength prediction are essential for designing and installing a mobile radio communications system. Typical backpropagation neural network (BPN) models with different input parameters are developed and used to evaluate and assess the relative importance of a set of radio propagation parameters for field strength prediction. The NN models are trained on data measurements of propagation loss with terrain information taken in an urban area (Athens region) in the 900 MHz band. The performance of all NN models is evaluated by comparing their prediction error statistics of average value, standard deviation, root mean square and the correlation between their predicted values and the true data measurements. The NN model with the best performance provides an indication of the most important set of parameters for field strength prediction.
Starting Page	17
Ending Page	20
File Size	445887
Page Count	4
File Format	PDF
ISBN	0780349555
DOI	10.1109/APWC.1998.730628
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1998-11-01
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Radio propagation Predictive models Neural networks Land mobile radio Backpropagation Area measurement Loss measurement Propagation losses Urban areas Error analysis
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Mr. Siddhartha Mukherjee siddhartha@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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