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Related Experiment Video

Updated: Jun 19, 2026

Generation and Coherent Control of Pulsed Quantum Frequency Combs
06:42

Generation and Coherent Control of Pulsed Quantum Frequency Combs

Published on: June 8, 2018

Reprogrammable optical matched filter for biphase-coded pulse compression.

X A Shen, Y S Bai, R Kachru

    Optics Letters
    |October 2, 2009
    PubMed
    Summary
    This summary is machine-generated.

    This study introduces stimulated echoes for rapid signal processing, enhancing radar systems. The technique effectively compresses biphase-coded pulses for improved range resolution and signal quality.

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    Last Updated: Jun 19, 2026

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    Published on: June 8, 2018

    Quasi-light Storage for Optical Data Packets
    07:45

    Quasi-light Storage for Optical Data Packets

    Published on: February 6, 2014

    Area of Science:

    • Electrical Engineering
    • Signal Processing
    • Radar Technology

    Background:

    • High-speed signal processing is crucial for advanced radar systems.
    • Existing methods for pulse compression have limitations in speed and efficiency.

    Purpose of the Study:

    • To demonstrate the application of stimulated echoes for high-speed phase-modulated signal processing.
    • To evaluate this technique for compressing biphase-coded pulses in radar applications.

    Main Methods:

    • Utilized stimulated echoes for signal processing.
    • Applied the technique to compress 5- and 13-bit Barker codes.
    • Measured system dynamic range and signal-to-noise enhancement.

    Main Results:

    • Successfully demonstrated high-speed phase-modulated signal processing using stimulated echoes.
    • Achieved effective compression of biphase-coded pulses.
    • Presented experimental results for Barker codes, dynamic range, and signal-to-noise enhancement.

    Conclusions:

    • Stimulated echoes offer a viable method for high-speed radar signal processing.
    • The technique provides advantages over existing methods for pulse compression.
    • This approach enhances range resolution and signal-to-noise ratios in radar systems.