Target identification using ISAR imaging techniques

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2005

Author

Atılgan, Erdinç Levent

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A proper time-frequency transform technique suppresses the blurring and smearing effect of the time-varying Doppler shift on the target image. The conventional target imaging method uses the Fourier transform for extracting the Doppler shift from the received radar pulse. Since the Doppler shift is timevarying for rotating targets, the constructed images will be degraded. In this thesis, the Doppler shift information required for the Range-Doppler image of the target is extracted by using high resolution time-frequency transform techniques. The Wigner-Ville Distribution and the Adaptive Gabor Representation with the Coarse-to-Fine and the Matching Pursuit Search Algorithms are examined techniques for the target imaging system. The modified Matching Pursuit Algorithm, the Matching Pursuit with Reduced Dictionary is proposed which decreases the signal processing time required by the Adaptive Gabor Representation. The Hybrid Matching Pursuit Search Algorithm is also introduced in this thesis work and the Coarse-to-Fine Algorithm and the Matching Pursuit Algorithm are combined for obtaining better representation quality of a signal in the time-frequency domain. The stated techniques are applied on to the sample signals and compared with each other. The application of these techniques in the target imaging system is also performed for the simulated aircrafts.

Subject Keywords

Telecommunication.

URI

http://etd.lib.metu.edu.tr/upload/12606765/index.pdf
https://hdl.handle.net/11511/15780

Collections

Graduate School of Natural and Applied Sciences, Thesis

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Citation Formats

E. L. Atılgan, “Target identification using ISAR imaging techniques,” M.S. - Master of Science, Middle East Technical University, 2005.