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Application of a Frequency Domain Prony Method to Wide Bandwidth Radar Signature Classification

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Title: Application of a Frequency Domain Prony Method to Wide Bandwidth Radar Signature Classification
Author: de Figueiredo, Rui J.P.; Hu, C.L.
Type: Tech Report
Keywords: Fourier transforms; Prony approximation; Tauberian theorems; delayed signals; signal processing; radar signature processing; sesmic signal proc.
Citation: R. J. de Figueiredo and C. Hu, "Application of a Frequency Domain Prony Method to Wide Bandwidth Radar Signature Classification," Rice University ECE Technical Report, no. 7908, 1979.
Abstract: A frequency domain Prony approach is presented for extracting features of return signals from targets illuminated by wide bandwidth (short pulse) radar. Theoretical details pertaining to this approach are described in a separate paper. The features mentioned above consist of the relative delays and reflection coefficients pertaining to scattering centers on the target representing differently shaped regions on the target surface. The dimensionality of the feature vectors thus constructed is very low (less than ten). Moreover, when used in the classification of targets by a nearest neighbor classification strategy, such feature vectors permit accurate discrimination between targets that do not differ much in shape; and also they are in a large measure insensitive to noise. The above results wer corroborated by computer simulations performed on the data base created by the coherent X-band short pulse (0.5 nanosecond) radar at the Fort Worth operation Radar Range of General Dynamics Convair Aerospace Division. The three objects on which extensive simulations were carried out were: an AGENA space vehicle with rectangular cross-sectional first stage, an AGENA space vehicle with cylindrical cross-sectional first stage and an AGENA space vehicle payload. the results of these simulations, which were rather successful, are discussed in detail.
Date Published: 1979-09-20

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  • ECE Publications [1034 items]
    Publications by Rice University Electrical and Computer Engineering faculty and graduate students
  • DSP Publications [508 items]
    Publications by Rice Faculty and graduate students in digital signal processing.