Performance evaluation of correlative interferometry for angle of arrival estimation

Radio direction finders are used to determine the direction of emitters and they are used by regulatory bodies, law enforcement, public safety and the Military. Bearings from multiple direction finders can be used by the process of triangulation to determine the position of emitters. There are sever...

Full description

Saved in:
Bibliographic Details
Main Author: Muhammad Kamal, Suhail
Format: Thesis
Language:English
Published: 2014
Subjects:
Online Access:http://eprints.utm.my/id/eprint/48570/1/SuhailMuhammadKamalMFKE2014.pdf
http://eprints.utm.my/id/eprint/48570/
http://dms.library.utm.my:8080/vital/access/manager/Repository?query=Performance+evaluation+of+correlative+interferometry+for+angle+of+arrival+estimation&queryType=vitalDismax&public=true
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.utm.48570
record_format eprints
spelling my.utm.485702017-08-10T04:04:27Z http://eprints.utm.my/id/eprint/48570/ Performance evaluation of correlative interferometry for angle of arrival estimation Muhammad Kamal, Suhail QC Physics Radio direction finders are used to determine the direction of emitters and they are used by regulatory bodies, law enforcement, public safety and the Military. Bearings from multiple direction finders can be used by the process of triangulation to determine the position of emitters. There are several methods for radio direction finding; Watson Watt/Adcock method, Differential Doppler, Directional Antenna and Correlative Interferometry. The project proposes the implementation of Correlative Interferometry for angle of arrival (AOA) estimation. The Correlative Interferometry processing involves the comparison of the measured phase differences between the antenna elements of the direction finder (DF) antenna system with those obtained for the same antenna system at all possible directions of incidence. The comparison is made by calculating the correlation of the two data sets (or the scalar product of two vectors obtained by multiplying the coordinates element by element and summing the result). Using different comparison data sets for different wave directions, the bearing is estimated from the data set for which the correlation is at a maximum. Various configuration of the algorithm is investigated so that that the amount of processing and memory was optimized with accuracy in the measurement of the direction. From the optimum structure, Monte Carlo simulation is carried out to evaluate the mean and variance of multiple AOA estimates for various signal-tonoise ratios (SNR). 2014 Thesis NonPeerReviewed application/pdf en http://eprints.utm.my/id/eprint/48570/1/SuhailMuhammadKamalMFKE2014.pdf Muhammad Kamal, Suhail (2014) Performance evaluation of correlative interferometry for angle of arrival estimation. Masters thesis, Universiti Teknologi Malaysia, Faculty of Electrical Engineering. http://dms.library.utm.my:8080/vital/access/manager/Repository?query=Performance+evaluation+of+correlative+interferometry+for+angle+of+arrival+estimation&queryType=vitalDismax&public=true
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
language English
topic QC Physics
spellingShingle QC Physics
Muhammad Kamal, Suhail
Performance evaluation of correlative interferometry for angle of arrival estimation
description Radio direction finders are used to determine the direction of emitters and they are used by regulatory bodies, law enforcement, public safety and the Military. Bearings from multiple direction finders can be used by the process of triangulation to determine the position of emitters. There are several methods for radio direction finding; Watson Watt/Adcock method, Differential Doppler, Directional Antenna and Correlative Interferometry. The project proposes the implementation of Correlative Interferometry for angle of arrival (AOA) estimation. The Correlative Interferometry processing involves the comparison of the measured phase differences between the antenna elements of the direction finder (DF) antenna system with those obtained for the same antenna system at all possible directions of incidence. The comparison is made by calculating the correlation of the two data sets (or the scalar product of two vectors obtained by multiplying the coordinates element by element and summing the result). Using different comparison data sets for different wave directions, the bearing is estimated from the data set for which the correlation is at a maximum. Various configuration of the algorithm is investigated so that that the amount of processing and memory was optimized with accuracy in the measurement of the direction. From the optimum structure, Monte Carlo simulation is carried out to evaluate the mean and variance of multiple AOA estimates for various signal-tonoise ratios (SNR).
format Thesis
author Muhammad Kamal, Suhail
author_facet Muhammad Kamal, Suhail
author_sort Muhammad Kamal, Suhail
title Performance evaluation of correlative interferometry for angle of arrival estimation
title_short Performance evaluation of correlative interferometry for angle of arrival estimation
title_full Performance evaluation of correlative interferometry for angle of arrival estimation
title_fullStr Performance evaluation of correlative interferometry for angle of arrival estimation
title_full_unstemmed Performance evaluation of correlative interferometry for angle of arrival estimation
title_sort performance evaluation of correlative interferometry for angle of arrival estimation
publishDate 2014
url http://eprints.utm.my/id/eprint/48570/1/SuhailMuhammadKamalMFKE2014.pdf
http://eprints.utm.my/id/eprint/48570/
http://dms.library.utm.my:8080/vital/access/manager/Repository?query=Performance+evaluation+of+correlative+interferometry+for+angle+of+arrival+estimation&queryType=vitalDismax&public=true
_version_ 1643652599893721088
score 13.211869