Interrupt SAR image restoration using linear prediction and...

Communications: directive radio wave systems and devices (e.g. – Synthetic aperture radar

Reexamination Certificate

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C342S195000, C342S159000, C342S02500R, C342S02500R, C342S196000

Reexamination Certificate

active

07006031

ABSTRACT:
SAR images are improved by a method for acquiring a synthetic aperture image from a sequence of periodic pulse returns where the sequence of periodic pulse returns is interspersed with interrupts, i.e. missing pulses. The interrupts mark the start and end of one or more segments, where the segments contain the periodic pulse returns form the SAR image. The method comprises the steps of:converting said pulse returns into a digital stream;performing an azimuth deskew on said digital stream to obtain a deskewed digital stream;forming a forward-backward data matrix from the deskewed digital stream for one or more segments;forming an average segment covariance from the forward-backward data matrix;computing a model order for the average segment covariance;computing one or more linear prediction coefficients using data contained in the forward backward data matrix, and model order;using the linear prediction coefficients to compute missing pulse returns belonging within the interrupts.The computation for extrapolating the missing pulse returns is introduced after the Stolt interpolator in RMA processing. In computing the model order, eigenvalues are found and compared to a threshold. Roots of a linear prediction polynomial are computed, then stabilized to obtain stabilized roots. Linear prediction coefficients are reconstituted using the stabilized roots. Sub-bands are used to decrease computing time for the missing pulse returns.

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