Abstract

The phase-error mitigation methods are applied to computer-generated one-dimensional (the azimuthal dimension) synthetic-aperture radar images. These images represent a superposition of five point targets of different intensities and locations. Specific realizations of the turbulence-induced phase errors are constructed by the Karhunen–Loeve technique. A specific realization is added to the phase history of the point targets to obtain the phase history of the distorted image. Reasonable reconstructions from the phase histories of the distorted images, using cubic-spline fits based on either the map drift or the mean frequency difference, are obtained when low-frequency phase errors dominate the spectrum. Binary multiplexing and a deterministic method based on the Legendre-series expansion of the phase error also produce good results for the first eight terms of the expansion. The best reconstructions are obtained by using the Wigner–Ville distribution.

© 1988 Optical Society of America

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