Neural networks for direction of arrival estimation in the presence of array sensor failures

123 p.

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Bibliographic Details
Main Author:	Vigneshwaran Subbaraju
Other Authors:	Narasimhan Sundararajan
Format:	Theses and Dissertations
Published:	2010
Subjects:	DRNTU::Engineering::Electrical and electronic engineering
Online Access:	https://hdl.handle.net/10356/39065
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Institution:	Nanyang Technological University

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spelling	sg-ntu-dr.10356-390652023-07-04T17:04:18Z Neural networks for direction of arrival estimation in the presence of array sensor failures Vigneshwaran Subbaraju Narasimhan Sundararajan School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering 123 p. Direction of Arrival (DoA) estimation is an important step in the implementation of adaptive/smart antennas which are an integral part of mobile communication systems. Conventional array signal processing algorithms have been widely used for DoA estimation. Among the conventional methods eigen-decomposition based methods such as MUSIC, ESPRIT etc have been found to be accurate, and provide higher resolution when compared to other methods. But these methods have been found to be computationally complex and are hence unsuitable for real-time operation. They are also sensitive to sensor failures, noise and other antenna effects like mutual coupling, non-uniformities in the positions of the sensors etc and require calibrated antennas with uniform features. A sensor is said to have failed when it can no longer receive the signals from the sources and its output consists only of the noise produced by the other circuitry involved. Mutual coupling is a phenomenon where the signal at a particular sensor induces a signal at others sensors in its close proximity. In the existing methods, sensor failure is tackled by introducing some corrections to the wrong data acquired after sensor failure and mutual coupling effects are usually overcome by calibrating the array before making the measurements. MASTER OF ENGINEERING (EEE) 2010-05-21T04:39:31Z 2010-05-21T04:39:31Z 2007 2007 Thesis Vigneshwaran, S. (2007). Neural networks for direction of arrival estimation in the presence of array sensor failures. Master’s thesis, Nanyang Technological University, Singapore. https://hdl.handle.net/10356/39065 10.32657/10356/39065 application/pdf
institution	Nanyang Technological University
building	NTU Library
continent	Asia
country	Singapore Singapore
content_provider	NTU Library
collection	DR-NTU
topic	DRNTU::Engineering::Electrical and electronic engineering
spellingShingle	DRNTU::Engineering::Electrical and electronic engineering Vigneshwaran Subbaraju Neural networks for direction of arrival estimation in the presence of array sensor failures
description	123 p.
author2	Narasimhan Sundararajan
author_facet	Narasimhan Sundararajan Vigneshwaran Subbaraju
format	Theses and Dissertations
author	Vigneshwaran Subbaraju
author_sort	Vigneshwaran Subbaraju
title	Neural networks for direction of arrival estimation in the presence of array sensor failures
title_short	Neural networks for direction of arrival estimation in the presence of array sensor failures
title_full	Neural networks for direction of arrival estimation in the presence of array sensor failures
title_fullStr	Neural networks for direction of arrival estimation in the presence of array sensor failures
title_full_unstemmed	Neural networks for direction of arrival estimation in the presence of array sensor failures
title_sort	neural networks for direction of arrival estimation in the presence of array sensor failures
publishDate	2010
url	https://hdl.handle.net/10356/39065
_version_	1772827312065085440

Neural networks for direction of arrival estimation in the presence of array sensor failures

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