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A system model and inversion for synthetic aperture radar imaging.

¹Dept. of Electr. and Comput. Eng., State Univ. of New York, Buffalo, Amherst, NY.

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society

|January 1, 1992

Summary

This study presents a new system model and inversion method for synthetic aperture radar (SAR) imaging. The approach accurately models radar patterns and uses Doppler processing for enhanced target reflectivity imaging.

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Area of Science:

Radar Systems Engineering
Electromagnetics
Signal Processing

Background:

Synthetic Aperture Radar (SAR) imaging relies on complex system models.
Accurate modeling of radar radiation patterns is crucial for high-resolution imaging.

Purpose of the Study:

To present a novel system model for SAR imaging that accounts for the spherical nature of radar radiation.
To develop a corresponding inversion method for improved target reflectivity reconstruction.

Main Methods:

Developed a system model incorporating far-field spherical radar radiation patterns.
Applied spatial Fourier transform (Doppler processing) to recorded signals.
Analyzed the impact of finite aperture on resolution and sampling.

Main Results:

The inversion method yields samples of the target's reflectivity function's spatial Fourier transform.
The method accommodates deviations in radar motion from a straight path.
Finite aperture effects on resolution and sampling constraints were elucidated.

Conclusions:

The proposed model and inversion technique offer a robust approach to SAR imaging.
The method enhances the accuracy of target reflectivity reconstruction.
Understanding finite aperture effects is key for optimizing SAR imaging systems.