Time-frequency approach to radar detection, imaging, and classification

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contributor.author Thayaparan, T en_US
contributor.author Stankovic, L en_US
contributor.author Amin, M en_US
contributor.author Cohen, L en_US
contributor.author Boashash, B en_US
date.accessioned 2012-01-15T06:22:10Z en_US
date.available 2012-01-15T06:22:10Z en_US
date.issued 2010-08 en_US
identifier.citation Thayaparan, T.; Stankovic, L.; Amin, M.; Chen, V.; Cohen, L.; Boashash, B., "Time-frequency approach to radar detection, imaging, and classification," Signal Processing, IET , vol.4, no.4, pp.325,328, August 2010 en_US
identifier.issn 1751-9675 en_US
identifier.uri http://hdl.handle.net/10576/10774 en_US
identifier.uri http://dx.doi.org/10.1049/iet-spr.2010.9095
description This is an editorial paper for a special issue in an application area of time-frequency signal processing.. (Additional details can be found in the comprehensive book on Time-Frequency Signal Analysis and Processing (see http://www.elsevier.com/locate/isbn/0080443354). In addition, the most recent upgrade of the original software package that calculates Time-Frequency Distributions and Instantaneous Frequency estimators can be downloaded from the web site: www.time-frequency.net. This was the first software developed in the field, and it was first released publicly in 1987 at the 1st ISSPA conference held in Brisbane, Australia, and then continuously updated). en_US
description.abstract One of the central problems in exploiting the radar data is the analysis of atime series. The problem at hand is how to extract the information present in the data and use it to its full potential. Traditionally, radar signals have been analysed in either the time or the frequency domain. The Fourier transform is at the heart of a wide range of techniques that are generally used in radardata analysis and processing. However, the change of frequency content withtime is one of the main features we generally observe in radar data. As a result of this change of frequency content with time, radar signals belong to the class of non-stationary signals. The analysis of nonstationary signals requires a technique that extends the notion of a global frequency spectrum to a localfrequency description. Joint time-frequency analysis using time-frequencytransforms has improved the analysis of non-stationary signals by revealingtime-varying information embedded in signals. en_US
description.sponsorship Institution of Engineering and Technology en_US
language.iso en en_US
publisher Institution of Engineering and Technology en_US
subject time-frequency analysis en_US
subject Radar detection en_US
subject radar imaging en_US
subject radar classification en_US
title Time-frequency approach to radar detection, imaging, and classification en_US
type Article en_US


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