Salih PoyrazMustafa Seçmen2025-10-0620149783944976341, 9788395602054, 9786176075523, 9783736993433, 9788395602092, 9783736998605, 9788394942151, 9783736995451, 9783944976310, 978395404853321555753, 2155574510.1109/IRS.2014.6869295https://www.scopus.com/inward/record.uri?eid=2-s2.0-84906691244&doi=10.1109%2FIRS.2014.6869295&partnerID=40&md5=aa13afd541011143fbc9934c2aeb4dd0https://gcris.yasar.edu.tr/handle/123456789/10025This work expounds a target classification method in the resonance scattering region having reduced target's distance aspect angle and noise dependencies. In the given method crucial optimum late-time intervals of the scattered signals are determined by using time-frequency representations. The time instants belonging to maximum and mean power values in time-frequency distributions are used which are independent from targets' positions. Then the feature vectors are formed for each target by using the given time-frequency distributions over these selected late-time regions at several different reference aspects and they are eventually used for the classification in test stage. In this study two different strategies having target-specific and signal-specific late-time intervals are designed. The simulations are carried out with lossless dielectric spheres being challenging targets in terms of scattering mechanism. The performances of designed strategies as well as other similar methods in the literature are compared for different popular time-frequency representations. It is found the strategy with target-specific late-time intervals combined with the Wigner-Ville distribution have better results such that it gives more than 70 percent accuracy for the noisy signals of SNR = 5 dB. © 2014 Warsaw University of Technology (WUT). © 2014 Elsevier B.V. All rights reserved.EnglishLate-time Interval, Radar Target Classification, Resonance Scattering Region, Time-frequency Representation, Radar, Signal To Noise Ratio, Wigner-ville Distribution, Late-time Interval, Lossless Dielectrics, Radar Target Classification, Resonance Scattering, Scattering Mechanisms, Target Classification, Time-frequency Distributions, Time-frequency Representations, Radar ImagingRadar, Signal to noise ratio, Wigner-Ville distribution, late-time interval, Lossless dielectrics, Radar target classification, Resonance scattering, Scattering mechanisms, Target Classification, Time-frequency distributions, Time-frequency representations, Radar imagingConference Object