Focusing SAR images formed by rma with arbitrary orientation

Abstract

A system and method (44) for focusing an image oriented in an arbitrary direction when the collected synthetic aperture radar (SAR) data is processed using range migration algorithm (RMA). In accordance with the teachings of the present invention, first (60) the data is skewed so that the direction of smearing in the image is aligned with one of the spatial frequency axes of the image. In the illustrative embodiment, the smearing is aligned in the vertical direction. This is done through a phase adjustment that was derived from the requirements for proper shift in the spatial frequency domain. Next (62), the signal support areas from all targets are aligned by proper phase adjustment in the spatial (or image) domain. Finally (64), the common phase error can be corrected using autofocus algorithms.

Description

[0001] 1. Field of the Invention[0002] The present invention relates to radar signal processing systems. More specifically, the present invention relates to phase error correction in a range migration algorithm (RMA) for synthetic aperture radar (SAR) systems.[0003] 2. Description of the Related Art[0004] In imaging applications such as ground mapping, a radar system is used to generate a two-dimensional image of a portion of a ground surface in the range and azimuth (cross-range) directions. A large antenna aperture is required in conventional imaging radar systems in order to achieve a narrow beamwidth and, consequently, fine azimuth resolution. Synthetic aperture radar (SAR) systems have been developed as an alternative means for improving azimuth resolution by synthesizing pulse-to-pulse return signals collected by a moving platform with a small antenna. Signal synthesis from many successive locations of the moving platform accomplishes what would otherwise require a larger ante...

AI Technical Summary

Problems solved by technology

A difficulty with the RMA, however, is performing efficient phase correction.

Phase error introduced by the inaccuracy of navigation data or undesirable platform motion causes smearing or duplication of the target image.

However, for the case of RMA, it is difficult to implement the autofocus function during batch processing because the signal support areas from different targets are not aligned.

For this reason, the autofocus function had to be implemented before batch processing starts, at the cost of increased complexity and processing time.

Because of the difficulty in implementing the autofocus function during batch processing, current RMA systems perform the autofocus function during the pulse-to-pulse processing phase using a separate polar format processing algorithm.

This approach, however, has the disadvantage of implementation complexity and tighter processing timeline requirements.

Furthermore, the increased timeline requirement makes it more difficult, if not impossible, to implement more advanced autofocus techniques.

In the general case when the processed image is oriented in an arbitrary direction especially with RMA, phase correction is more complicated and requires additional processing.

There is no known method for phase correction of arbitrarily oriented images in RMA during batch processing.

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