Abstract
It is gaining acceptance by the radar signature community that effective target recognition requires more advanced signal analysis methods than those available for the frequency or time domains, separately. In recent years, the various distributions in the time-frequency domain of the Wigner-type, or Cohen class1–3 have proven their feasibility of extracting features in the cross-section of returned echoes and be more informative by their ability to display the time evolution of these features. As we demonstrated earlier, resonance features generated in the time-frequency domain from an echo backscattered by a target in free space,4–6 or buried underground,7 when a pulse from an impulse radar is incident on it, could be used to identify the target. A precondition in these time-frequency analyses is that the broad-band pulses emitted by the impulse radar do not exhibit distorting anomalies in their spectra. These anomalies could detrimentally affect the extracted resonance features in the time-frequency distribution of the pulses backscattered by any target.
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References
L. Cohen, “Time-frequency distribution—A review,” Proc. IEEE, Vol. 77, 941–981, July 1989.
L. Cohen, Time-Frequency Analysis, Prentice Hall, Englewood Cliffs, NJ, 1995.
B. Boashash, Ed., Time-Frequency Signal Analysis, Longman Cheshire, Melbourne, Australia, 1992.
S. Abrahamsson, B. Brusmark, H. C. Strifors, and G. C. Gaunaurd, “Extraction of target signature features in the combined time-frequency domain by means of impulse radar,” in Automatic Object Recognition II, F. A. Sadjadi, Ed., F. A. 1700, 1992, 102–113.
H. C. Strifors, G. C. Gaunaurd, B. Brusmark, and S. Abrahamson, “Transient interactions of an EM pulse with a dielectric spherical shell,” IEEE Trans. Antennas Propagat., Vol. 42, 453–462, Apr. 1994.
H. C. Strifors, B. Brusmark, S. Abrahamson, and G. C. Gaunaurd, “Aspect dependence of impulse radar extracted signature features in the combined time-frequency domain,” in Automatic Object Recognition IV, Sadjadi, F. A., Ed., Sadjadi, F. 2234, 1994, 2–13.
H. C. Strifors, B. Brusmark, S. Abrahamson, and G. C. Gaunaurd, “Signature features in time-frequency of simple targets extracted by ground penetrating radar,” in Automatic Object Recognition V, Sadjadi, F. A., Ed., Sadjadi, F. 2485, 1995, 175–186.
T. A. C. M. Claasen and W. F. G. Mecklenbräuker, “The Wigner distribution — A tool for time-frequency signal analysis,” Philips J. Res., Vol. 35, Part I, 217–250; Part II, 276–300; Part III, 372–389; 1980.
L. Cohen, “Quantization problem and variational principle in the phase-space formulation of quantum mechanics,” J. Math. Phys., Vol. 17, 1863–1366, 1976.
J. C. Bezdek, Pattern Recognition with Fuzzy Objective Function Algorithms, Plenum Press, New York, 1981.
S. L. Chiu, “Fuzzy model identification based on cluster estimation,” Journal of Intelligent and Fuzzy Systems, Vol. 2, 267–278, 1994.
J. Dunn, “A fuzzy relative of the ISODATA process and its use in detecting compact, well separated clusters,” J. Cybernetics, Vol. 3, 32–57, 1974.
J. Bezdek, “Cluster validity with fuzzy sets,” J. Cybernetics, Vol. 3, 58–71, 1974.
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Strifors, H.C., Gustafsson, A., Abrahamson, S., Gaunaurd, G.C. (1997). Classification of Buried Targets Using Time-Frequency Signatures Extracted by a Ground Penetrating Radar. In: Baum, C.E., Carin, L., Stone, A.P. (eds) Ultra-Wideband, Short-Pulse Electromagnetics 3. Springer, Boston, MA. https://doi.org/10.1007/978-1-4757-6896-1_37
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DOI: https://doi.org/10.1007/978-1-4757-6896-1_37
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