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Real-time programmable acoustooptic synthetic aperture radar processor.

M Haney, D Psaltis

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    This study reviews acoustooptic processing for real-time synthetic aperture radar (SAR) and introduces new hybrid optical/electronic methods. These advanced techniques enable programmable, continuous compensation for complex motion and geometry changes in SAR imaging.

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    Area of Science:

    • Optics and Photonics
    • Radar Systems Engineering
    • Signal Processing

    Background:

    • Real-time processing of synthetic aperture radar (SAR) data is crucial for many applications.
    • Traditional SAR processing methods face challenges with complex target geometries and platform motion.
    • Acoustooptic (AO) techniques offer potential for high-speed optical signal processing.

    Purpose of the Study:

    • To review the acoustooptic time-and-space integrating approach for real-time SAR processing.
    • To describe novel hybrid optical/electronic techniques that generalize the basic AO SAR architecture.
    • To present a programmable architecture capable of continuous compensation for dynamic SAR parameters.

    Main Methods:

    • Review of existing acoustooptic time-and-space integrating methods for SAR.
    • Development of generalized hybrid optical/electronic architectures.
    • Implementation of continuous compensation algorithms for range migration and platform motion.
    • Adaptation of the architecture for spotlight mode SAR operations.

    Main Results:

    • The generalized architecture is programmable and offers enhanced flexibility.
    • Continuous compensation for range migration due to varying radar/target geometry is achieved.
    • Compensation for anomalous platform motion is effectively integrated.
    • The architecture is well-suited for spotlight mode SAR, especially for onboard processing.

    Conclusions:

    • The novel hybrid optical/electronic techniques significantly advance real-time SAR processing capabilities.
    • The programmable and adaptable architecture addresses key challenges in dynamic SAR scenarios.
    • This approach is particularly beneficial for real-time onboard processing requirements in spotlight SAR applications.