1 August 2002 Extracting models from RADAR data for 3-D target ID
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Abstract
This paper details a model building technique to construct geometric target models from RADAR data collected in a controlled environment. An algorithm to construct three-dimensional target models from a complex RADAR return expressed as discrete sets of scattering center coordinates with associated amplitudes is explained in detail. The model is a three-dimensional extension of proven RADAR scattering models that treat the RADAR return as a sum of complex exponentials. A Fourier Transform converts this to impulses in the frequency domain where the relative phase difference between scattering centers is a wrapped phase term. If the viewing sphere is sampled densely enough, the phase is unambiguously unwrapped. The minimum sampling interval is explicitly determined as a function of the extent of the target in wavelengths. A least squares solution determines the coordinates of each scattering center. Properties of the collection geometry allow the minimum sampling density of the viewing sphere to be increased, but at the cost of testing competing hypotheses to determine which one best fits the phase data. The complex RADAR return of a random object is created sampling a 1 degree(s) slice of the viewing sphere to validate the model-building algorithm All coordinates of the random object are extracted perfectly. Hopefully this algorithm can build three-dimensional scattering center models valid over the entire viewing sphere with each target represented as a discrete set of scattering centers. A rectangular window function associated with each scattering center would model persistence across the viewing sphere.
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Gregory J. Meyer, Gregory J. Meyer, Steven C. Gustafson, Steven C. Gustafson, D. Gregory Arnold, D. Gregory Arnold, } "Extracting models from RADAR data for 3-D target ID", Proc. SPIE 4727, Algorithms for Synthetic Aperture Radar Imagery IX, (1 August 2002); doi: 10.1117/12.478694; https://doi.org/10.1117/12.478694
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