Microwave line-of-sight path loss prediction on urban street by fuzzy logic model

Microwave line-of-sight path loss prediction on urban street by fuzzy logic model

This paper proposes a method to model the path loss characteristics on urban streets in the microwave band. We applied the concept of fuzzy logic to predict path losses. The input fuzzy sets were classified into five sets, namely 1) Distance between transmitter and receiver, 2) Frequency, 3) Time of...

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Main Authors: Supachai Phaiboon, Pisit Phokharatkul, Suripon Somkuarnpanit, Sitchai Boonpiyathud
Other Authors: Mahidol University
Format: Conference or Workshop Item
Published: 2018
Subjects:
Engineering
Online Access:https://repository.li.mahidol.ac.th/handle/123456789/16504
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Institution: Mahidol University
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spelling th-mahidol.165042018-06-21T15:13:39Z Microwave line-of-sight path loss prediction on urban street by fuzzy logic model Supachai Phaiboon Pisit Phokharatkul Suripon Somkuarnpanit Sitchai Boonpiyathud Mahidol University King Mongkut's Institute of Technology Ladkrabang Thammasat University Engineering This paper proposes a method to model the path loss characteristics on urban streets in the microwave band. We applied the concept of fuzzy logic to predict path losses. The input fuzzy sets were classified into five sets, namely 1) Distance between transmitter and receiver, 2) Frequency, 3) Time of day, 4) Transmitting antenna height and 5) Receiving antenna height. These inputs are then inferenced into output path loss via linguistic rules which were trained by measurement. To check the proposed model, we compared the fuzzy prediction with the same and an another measurement. The results show that the fuzzy logic models provided a better prediction. © 2005 IEEE. 2018-06-21T08:13:39Z 2018-06-21T08:13:39Z 2005-12-01 Conference Paper Asia-Pacific Microwave Conference Proceedings, APMC. Vol.4, (2005) 10.1109/APMC.2005.1606797 2-s2.0-33847100135 https://repository.li.mahidol.ac.th/handle/123456789/16504 Mahidol University SCOPUS https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=33847100135&origin=inward
institution Mahidol University
building Mahidol University Library
continent Asia
country Thailand
Thailand
content_provider Mahidol University Library
collection Mahidol University Institutional Repository
topic Engineering
spellingShingle Engineering
Supachai Phaiboon
Pisit Phokharatkul
Suripon Somkuarnpanit
Sitchai Boonpiyathud
Microwave line-of-sight path loss prediction on urban street by fuzzy logic model
description This paper proposes a method to model the path loss characteristics on urban streets in the microwave band. We applied the concept of fuzzy logic to predict path losses. The input fuzzy sets were classified into five sets, namely 1) Distance between transmitter and receiver, 2) Frequency, 3) Time of day, 4) Transmitting antenna height and 5) Receiving antenna height. These inputs are then inferenced into output path loss via linguistic rules which were trained by measurement. To check the proposed model, we compared the fuzzy prediction with the same and an another measurement. The results show that the fuzzy logic models provided a better prediction. © 2005 IEEE.
author2 Mahidol University
author_facet Mahidol University
Supachai Phaiboon
Pisit Phokharatkul
Suripon Somkuarnpanit
Sitchai Boonpiyathud
format Conference or Workshop Item
author Supachai Phaiboon
Pisit Phokharatkul
Suripon Somkuarnpanit
Sitchai Boonpiyathud
author_sort Supachai Phaiboon
title Microwave line-of-sight path loss prediction on urban street by fuzzy logic model
title_short Microwave line-of-sight path loss prediction on urban street by fuzzy logic model
title_full Microwave line-of-sight path loss prediction on urban street by fuzzy logic model
title_fullStr Microwave line-of-sight path loss prediction on urban street by fuzzy logic model
title_full_unstemmed Microwave line-of-sight path loss prediction on urban street by fuzzy logic model
title_sort microwave line-of-sight path loss prediction on urban street by fuzzy logic model
publishDate 2018
url https://repository.li.mahidol.ac.th/handle/123456789/16504
_version_ 1763491129887555584

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