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A frequency-aspect extrapolation algorithm for ISAR image simulation based on two-dimensional ESPRIT
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DOI：10.1109/36.851973.png)
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Abstract
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A frequency-aspect extrapolation algorithm is proposed to accelerate ISAR image simulation using fast multipole solvers. A two-dimensional (2-D) multiple-arrival model based on high-frequency physics is proposed to parameterize the induced currents on the target. A 2-D estimation of parameters via rotation invariance technique (ESPRIT) algorithm is developed to estimate the model parameters from a limited number of computed data samples in frequency and aspect. The model is then extrapolated to other frequencies and aspects to arrive at broadband, wide-angle radar cross section (RCS) data for inverse synthetic aperture radar (TSAR) image construction. This algorithm is tested using a canonical cylinder-plate structure to evaluate its performance. The ISAR image of the benchmark VFY-218 airplane at UHF band is then predicted using the fast multipole solver FISC and the 2-D extrapolation algorithm. The resulting image compares favorably with that obtained from chamber measurement data.
Keywords:
fast multipole solver
frequency-aspect extrapolation
ISAR image simulation
two-dimensional ESPRIT
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