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Time - Frequency analysis of radar signals for ISAR applications

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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 http://hdl.handle.net/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


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