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Clutter distribution analysis of a tropical foliage clutter for different environments based on FSR micro-sensor network / Nur Alia Zulkifli

Comparison of four different environments (border, seaside, free space and forest) on measuring the wind clutter using forward scatter radar (FSR) operates in ultra-high and very high frequency (UHF and VHF) bands is analyzed in this paper. In this project, clutter level ranging from low, medium, st...

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Main Author: Zulkifli, Nur Alia
Format: Thesis
Language:English
Published: 2017
Online Access:https://ir.uitm.edu.my/id/eprint/81467/1/81467.pdf
https://ir.uitm.edu.my/id/eprint/81467/
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spelling my.uitm.ir.814672023-11-07T09:16:24Z https://ir.uitm.edu.my/id/eprint/81467/ Clutter distribution analysis of a tropical foliage clutter for different environments based on FSR micro-sensor network / Nur Alia Zulkifli Zulkifli, Nur Alia Comparison of four different environments (border, seaside, free space and forest) on measuring the wind clutter using forward scatter radar (FSR) operates in ultra-high and very high frequency (UHF and VHF) bands is analyzed in this paper. In this project, clutter level ranging from low, medium, strong and very strong on each locations were studied. The pattern of wind clutter level measurement characteristics is investigated and executed using distribution models at different operating frequencies as well as comparing the data distributions of four different locations in order to identify the best distribution model. Sample of data in form of Real Strength Signal Indicator (RSSI) signals is evaluated using five distributions model (Log-Normal, Log-Logistic, Gamma, Weibull and Nakagami). This comparison justified that Border suits the best location as the strongest clutter area amidst Seaside and Free space, while Forest is determined as the lowest clutter area as the accurate distribution of clutter model. The parameters of the five distributions are evaluated using maximum likelihood estimation (MLE) approach followed by Goodness of Fit (GOF) method by using Root Mean Square Error (RMSE) test to prove the best distributions among. Gamma distribution model is discovered as the best distribution model in this research for foliage clutter for all cases of frequency bands and four environments. 2017 Thesis NonPeerReviewed text en https://ir.uitm.edu.my/id/eprint/81467/1/81467.pdf Clutter distribution analysis of a tropical foliage clutter for different environments based on FSR micro-sensor network / Nur Alia Zulkifli. (2017) Masters thesis, thesis, Universiti Teknologi MARA (UiTM).
institution Universiti Teknologi Mara
building Tun Abdul Razak Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Mara
content_source UiTM Institutional Repository
url_provider http://ir.uitm.edu.my/
language English
description Comparison of four different environments (border, seaside, free space and forest) on measuring the wind clutter using forward scatter radar (FSR) operates in ultra-high and very high frequency (UHF and VHF) bands is analyzed in this paper. In this project, clutter level ranging from low, medium, strong and very strong on each locations were studied. The pattern of wind clutter level measurement characteristics is investigated and executed using distribution models at different operating frequencies as well as comparing the data distributions of four different locations in order to identify the best distribution model. Sample of data in form of Real Strength Signal Indicator (RSSI) signals is evaluated using five distributions model (Log-Normal, Log-Logistic, Gamma, Weibull and Nakagami). This comparison justified that Border suits the best location as the strongest clutter area amidst Seaside and Free space, while Forest is determined as the lowest clutter area as the accurate distribution of clutter model. The parameters of the five distributions are evaluated using maximum likelihood estimation (MLE) approach followed by Goodness of Fit (GOF) method by using Root Mean Square Error (RMSE) test to prove the best distributions among. Gamma distribution model is discovered as the best distribution model in this research for foliage clutter for all cases of frequency bands and four environments.
format Thesis
author Zulkifli, Nur Alia
spellingShingle Zulkifli, Nur Alia
Clutter distribution analysis of a tropical foliage clutter for different environments based on FSR micro-sensor network / Nur Alia Zulkifli
author_facet Zulkifli, Nur Alia
author_sort Zulkifli, Nur Alia
title Clutter distribution analysis of a tropical foliage clutter for different environments based on FSR micro-sensor network / Nur Alia Zulkifli
title_short Clutter distribution analysis of a tropical foliage clutter for different environments based on FSR micro-sensor network / Nur Alia Zulkifli
title_full Clutter distribution analysis of a tropical foliage clutter for different environments based on FSR micro-sensor network / Nur Alia Zulkifli
title_fullStr Clutter distribution analysis of a tropical foliage clutter for different environments based on FSR micro-sensor network / Nur Alia Zulkifli
title_full_unstemmed Clutter distribution analysis of a tropical foliage clutter for different environments based on FSR micro-sensor network / Nur Alia Zulkifli
title_sort clutter distribution analysis of a tropical foliage clutter for different environments based on fsr micro-sensor network / nur alia zulkifli
publishDate 2017
url https://ir.uitm.edu.my/id/eprint/81467/1/81467.pdf
https://ir.uitm.edu.my/id/eprint/81467/
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score 13.211869

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