Computer simulation study of a direction finding algorithm

The use of an antennas array enables spatial diversity. Such diversity allows the direction of a signal to be estimated. The aim of this project is to study the design of a direction-of-arrival (DOA) estimation algorithm, multiple signal classification (MUSIC), and evaluate its performance via compu...

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Main Author: Ong, Andy Liang Wei
Other Authors: Ser Wee
Format: Final Year Project
Language:English
Published: 2015
Subjects:
Online Access:http://hdl.handle.net/10356/65693
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-656932023-07-07T16:23:12Z Computer simulation study of a direction finding algorithm Ong, Andy Liang Wei Ser Wee School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Wireless communication systems The use of an antennas array enables spatial diversity. Such diversity allows the direction of a signal to be estimated. The aim of this project is to study the design of a direction-of-arrival (DOA) estimation algorithm, multiple signal classification (MUSIC), and evaluate its performance via computer simulation in Matrix Laboratory (MATLAB). Essentially, DOA estimation algorithm forms the brain of an antenna array, processing the data received from the incident signals to extract DOA information. A total of eight parameters is identified, tested and analyzed for this final year project. This offers a holistic view of the ability of MUSIC algorithm in DOA estimation. It is observed that not all factors are equal, some of the factors have more substantial impact on the accuracy and resolution of the DOA estimation than the others. The degree of influence of each parameters is being analyzed and evaluated. MUSIC algorithm is observed to be sensitive to the changes in the following parameters: signal-to-noise ratio (SNR), array elements spacing and angle of separation of the signals. Hence, further testing can be done to analyze the impact of these factors and try to adjust the controllable parameters to reduce the DOA estimation error in future application. Bachelor of Engineering 2015-12-10T02:21:15Z 2015-12-10T02:21:15Z 2015 2015 Final Year Project (FYP) http://hdl.handle.net/10356/65693 en Nanyang Technological University 49 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Engineering::Electrical and electronic engineering::Wireless communication systems
spellingShingle DRNTU::Engineering::Electrical and electronic engineering::Wireless communication systems
Ong, Andy Liang Wei
Computer simulation study of a direction finding algorithm
description The use of an antennas array enables spatial diversity. Such diversity allows the direction of a signal to be estimated. The aim of this project is to study the design of a direction-of-arrival (DOA) estimation algorithm, multiple signal classification (MUSIC), and evaluate its performance via computer simulation in Matrix Laboratory (MATLAB). Essentially, DOA estimation algorithm forms the brain of an antenna array, processing the data received from the incident signals to extract DOA information. A total of eight parameters is identified, tested and analyzed for this final year project. This offers a holistic view of the ability of MUSIC algorithm in DOA estimation. It is observed that not all factors are equal, some of the factors have more substantial impact on the accuracy and resolution of the DOA estimation than the others. The degree of influence of each parameters is being analyzed and evaluated. MUSIC algorithm is observed to be sensitive to the changes in the following parameters: signal-to-noise ratio (SNR), array elements spacing and angle of separation of the signals. Hence, further testing can be done to analyze the impact of these factors and try to adjust the controllable parameters to reduce the DOA estimation error in future application.
author2 Ser Wee
author_facet Ser Wee
Ong, Andy Liang Wei
format Final Year Project
author Ong, Andy Liang Wei
author_sort Ong, Andy Liang Wei
title Computer simulation study of a direction finding algorithm
title_short Computer simulation study of a direction finding algorithm
title_full Computer simulation study of a direction finding algorithm
title_fullStr Computer simulation study of a direction finding algorithm
title_full_unstemmed Computer simulation study of a direction finding algorithm
title_sort computer simulation study of a direction finding algorithm
publishDate 2015
url http://hdl.handle.net/10356/65693
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