Time - Frequency analysis of radar signals for ISAR applications

Skrapas, K; Boultadakis, G; Karakasiliotis, A; Frangos, P

dc.contributor.author	Skrapas, K	en
dc.contributor.author	Boultadakis, G	en
dc.contributor.author	Karakasiliotis, A	en
dc.contributor.author	Frangos, P	en
dc.date.accessioned	2014-03-01T02:43:40Z
dc.date.available	2014-03-01T02:43:40Z
dc.date.issued	2005	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/31491
dc.subject	Estimation Method	en
dc.subject	Image Resolution	en
dc.subject	Spectrum	en
dc.subject	Time Frequency Analysis	en
dc.subject	Short Time Fourier Transform	en
dc.subject	Time Dependent	en
dc.subject	Time Frequency	en
dc.subject	Time Varying	en
dc.subject.other	Fourier transforms	en
dc.subject.other	Image resolution	en
dc.subject.other	Radar	en
dc.subject.other	Radar target recognition	en
dc.subject.other	Seismology	en
dc.subject.other	Spectrographs	en
dc.subject.other	Radar target imaging	en
dc.subject.other	Short Time Fourier Transform (STFT)	en
dc.subject.other	Time frequency analysis	en
dc.subject.other	Radio waves	en
dc.title	Time - Frequency analysis of radar signals for ISAR applications	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1109/RAST.2005.1512657	en
heal.identifier.secondary	http://dx.doi.org/10.1109/RAST.2005.1512657	en
heal.identifier.secondary	1512657	en
heal.publicationDate	2005	en
heal.abstract	Time - frequency analysis is nowadays very frequently used for the evaluation of non - stationary signals, with applications in areas such as radar target imaging and identification, seismic signal interpretation etc. The corresponding two - dimensional (2D) time - frequency plots, usually called 'spectrograms', are sometimes very useful, because they provide the time - dependence of the signal spectrum, not available in other traditional spectrum estimation methods. In this paper we focus on several time - frequency techniques, like the Short - Time Fourier Transform (STFT). Furthermore, the performance of the Bilinear Time -Frequency Transforms is also carefully examined. The basic idea of time - frequency analysis is the characterization of the time-varying frequency content of a signal. In this way, additional signal information can be acquired, and ultimately improved target image resolution can be achieved. Finally, time - frequency transforms allow the use of variable parameters, which change according to the time and frequency, in order to achieve the desired target resolution. In this paper, we develop computer codes for the above methods, and simulated synthetic radar data are used for their implementation. ©2005 IEEE.	en
heal.journalName	RAST 2005 - Proceedings of 2nd International Conference on Recent Advances in Space Technologies	en
dc.identifier.doi	10.1109/RAST.2005.1512657	en
dc.identifier.volume	2005	en
dc.identifier.spage	699	en
dc.identifier.epage	703	en