Time delay estimation based on the higher-order statistics of signals
Time Delay Estimation (TDE)is a fundamental passive sonar signal processing problem. It is important in many areas such as sonar, biomedicine, radar and geophysics. Generalized Cross Correlation (GCC)method has been the conventional method of estimating time delays, but it has certain limitations on...
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sg-ntu-dr.10356-389962023-07-04T16:01:09Z Time delay estimation based on the higher-order statistics of signals Wu, Yong. A. Rahim Leyman School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing Time Delay Estimation (TDE)is a fundamental passive sonar signal processing problem. It is important in many areas such as sonar, biomedicine, radar and geophysics. Generalized Cross Correlation (GCC)method has been the conventional method of estimating time delays, but it has certain limitations on the nature of the signal and noise sources. When the noises are correlated or the signals are non-Gaussian, the performance of GCC approaches degrade. Recently there is a surge of interest in studying Higher-Order Statistics (HOS)of the signals and their application to many signal processing problems. HOS-based TDE approaches have been proposed which show better performance than GCC methods. Master of Engineering 2010-05-21T03:39:18Z 2010-05-21T03:39:18Z 1998 1998 Thesis http://hdl.handle.net/10356/38996 NANYANG TECHNOLOGICAL UNIVERSITY 152 p. application/pdf |
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DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing Wu, Yong. Time delay estimation based on the higher-order statistics of signals |
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Time Delay Estimation (TDE)is a fundamental passive sonar signal processing problem. It is important in many areas such as sonar, biomedicine, radar and geophysics. Generalized Cross Correlation (GCC)method has been the conventional method of estimating time delays, but it has certain limitations on the nature of the signal and noise sources. When the noises are correlated or the signals are non-Gaussian, the performance of GCC approaches degrade. Recently there is a surge of interest in studying Higher-Order Statistics (HOS)of the signals and their application to many signal processing problems. HOS-based TDE approaches have been proposed which show better performance than GCC methods. |
author2 |
A. Rahim Leyman |
author_facet |
A. Rahim Leyman Wu, Yong. |
format |
Theses and Dissertations |
author |
Wu, Yong. |
author_sort |
Wu, Yong. |
title |
Time delay estimation based on the higher-order statistics of signals |
title_short |
Time delay estimation based on the higher-order statistics of signals |
title_full |
Time delay estimation based on the higher-order statistics of signals |
title_fullStr |
Time delay estimation based on the higher-order statistics of signals |
title_full_unstemmed |
Time delay estimation based on the higher-order statistics of signals |
title_sort |
time delay estimation based on the higher-order statistics of signals |
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2010 |
url |
http://hdl.handle.net/10356/38996 |
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1772827811754541056 |