IEICE TRANSACTIONS on Electronics
Feature Extraction for Neural Network Wave Propagation Loss Models from Field Measurements and Digital Elevation Map
Summary :
This paper presents algorithms for extracting the values of relevant parameters from field measurements and 3-dimensional geographical data to be used in neural network modeling of wave propagation loss in microcells. The algorithms extract the feature values from 3-dimensional elevation maps and vector maps based on the theory in Computational Geometry. The neural networks trained on these parameters as their input approximate the function of wave propagation loss and can produce predictions with high accuracy. Some experimental results which show the superior performance of our approach over COST-231 method in actual PCS cell sites operating in the city of Seoul are presented.
- Publication
- IEICE TRANSACTIONS on Electronics Vol.E82-C No.7 pp.1260-1266
- Publication Date
- 1999/07/25
- Publicized
- Online ISSN
- DOI
- Type of Manuscript
- Special Section PAPER (Special Issue on Microwave and Millimeter Wave Technology)
- Category
- Propagation and Scattering
Authors
Keyword
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Seomin YANG, Hyukjoon LEE, "Feature Extraction for Neural Network Wave Propagation Loss Models from Field Measurements and Digital Elevation Map" in IEICE TRANSACTIONS on Electronics,
vol. E82-C, no. 7, pp. 1260-1266, July 1999, doi: .
Abstract: This paper presents algorithms for extracting the values of relevant parameters from field measurements and 3-dimensional geographical data to be used in neural network modeling of wave propagation loss in microcells. The algorithms extract the feature values from 3-dimensional elevation maps and vector maps based on the theory in Computational Geometry. The neural networks trained on these parameters as their input approximate the function of wave propagation loss and can produce predictions with high accuracy. Some experimental results which show the superior performance of our approach over COST-231 method in actual PCS cell sites operating in the city of Seoul are presented.
URL: https://global.ieice.org/en_transactions/electronics/10.1587/e82-c_7_1260/_p
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@ARTICLE{e82-c_7_1260,
author={Seomin YANG, Hyukjoon LEE, },
journal={IEICE TRANSACTIONS on Electronics},
title={Feature Extraction for Neural Network Wave Propagation Loss Models from Field Measurements and Digital Elevation Map},
year={1999},
volume={E82-C},
number={7},
pages={1260-1266},
abstract={This paper presents algorithms for extracting the values of relevant parameters from field measurements and 3-dimensional geographical data to be used in neural network modeling of wave propagation loss in microcells. The algorithms extract the feature values from 3-dimensional elevation maps and vector maps based on the theory in Computational Geometry. The neural networks trained on these parameters as their input approximate the function of wave propagation loss and can produce predictions with high accuracy. Some experimental results which show the superior performance of our approach over COST-231 method in actual PCS cell sites operating in the city of Seoul are presented.},
keywords={},
doi={},
ISSN={},
month={July},}
Copy
TY - JOUR
TI - Feature Extraction for Neural Network Wave Propagation Loss Models from Field Measurements and Digital Elevation Map
T2 - IEICE TRANSACTIONS on Electronics
SP - 1260
EP - 1266
AU - Seomin YANG
AU - Hyukjoon LEE
PY - 1999
DO -
JO - IEICE TRANSACTIONS on Electronics
SN -
VL - E82-C
IS - 7
JA - IEICE TRANSACTIONS on Electronics
Y1 - July 1999
AB - This paper presents algorithms for extracting the values of relevant parameters from field measurements and 3-dimensional geographical data to be used in neural network modeling of wave propagation loss in microcells. The algorithms extract the feature values from 3-dimensional elevation maps and vector maps based on the theory in Computational Geometry. The neural networks trained on these parameters as their input approximate the function of wave propagation loss and can produce predictions with high accuracy. Some experimental results which show the superior performance of our approach over COST-231 method in actual PCS cell sites operating in the city of Seoul are presented.
ER -
English
