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Four-Element Receiver for Pulsed 10-mum Heterodyne Doppler Lidar.

X Favreau, A Delaval, P H Flamant

    Applied Optics
    |March 18, 2008
    PubMed
    Summary

    This study improved Doppler lidar performance by combining signals from a four-element photomixer receiver. The new technique reduced signal variance for aerosol targets up to 8 km.

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    Area of Science:

    • Atmospheric Science
    • Optical Engineering
    • Signal Processing

    Background:

    • Heterodyne Doppler lidar systems are crucial for remote sensing of atmospheric aerosols.
    • Signal variance in lidar returns can limit performance, especially for distant targets.
    • Combining signals from multi-element receivers offers potential for performance enhancement.

    Purpose of the Study:

    • To investigate the performance improvement of a 10-mum heterodyne Doppler lidar using a four-element photomixer receiver.
    • To reduce the variance of scattered power from aerosol targets at extended ranges (up to 8 km).
    • To evaluate different signal summation techniques for optimizing lidar data.

    Main Methods:

    • Implementation and testing of a four-element photomixer receiver in a 10-mum Doppler lidar system.
    • Application of two signal summation techniques: coherent summation of amplitudes and incoherent summation of intensities.
    • Development and validation of a phasing technique utilizing self-consistent packets (SCP) for signal correlation.

    Main Results:

    • Successful testing of the SCP technique for signal phasing.
    • Demonstrated variance reduction in lidar returns when combining the four independent signals coherently.
    • Observed improvements in carrier-to-noise ratio and velocity accuracy, consistent with theoretical predictions.

    Conclusions:

    • Coherent summation of signals from a four-element photomixer receiver significantly enhances Doppler lidar performance.
    • The proposed phasing technique using SCPs is effective for improving signal quality and accuracy.
    • This approach offers a viable method for extending the effective range and reliability of aerosol monitoring with Doppler lidar.

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