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Optimal pseudorandom pulse position modulation ladar waveforms.

David U Fluckiger, Brian F Boland, Eran Marcus

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    This study presents an algorithm for optimal pseudorandom pulse position modulation (PRPPM) waveforms, crucial for ladar ranging. These waveforms minimize sidelobes, improving target detection in challenging conditions with range uncertainty.

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    Area of Science:

    • Optical Engineering
    • Signal Processing
    • Lidar Technology

    Background:

    • Bistatic ladar systems with Geiger-mode avalanche photodiodes need multiple pulse detections for target statistics.
    • Large initial range uncertainty in targets necessitates pulse trains with extended ambiguity range.

    Purpose of the Study:

    • To develop an algorithm for generating optimal pseudorandom pulse position modulation (PRPPM) waveforms.
    • To address the challenge of sidelobe reduction in ladar ranging waveforms.

    Main Methods:

    • Algorithm development for PRPPM waveform generation.
    • Focus on minimizing sidelobes in the autocorrelation of pulse trains.
    • Utilizing pulse correlation filter (compression) for optimal waveform evaluation.

    Main Results:

    • The proposed algorithm generates PRPPM waveforms with minimal sidelobes.
    • Achieved sidelobe levels equivalent to 1 or 0 counts after pulse compression.
    • Demonstrated optimal autocorrelation properties for enhanced ladar performance.

    Conclusions:

    • The developed algorithm provides an effective method for generating optimal PRPPM waveforms.
    • Minimal sidelobe PRPPM waveforms enhance target detection in ladar systems, especially with range uncertainty.
    • This approach improves the signal processing capabilities of bistatic ladar systems.