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Format-transparent phase estimation based on KL divergence in coherent optical systems.

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    |July 19, 2020
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    Summary
    This summary is machine-generated.

    We introduce a new format-transparent phase estimation method using Kullback-Leibler (KL) divergence for coherent optical systems. This novel approach improves accuracy and reduces complexity, especially for probabilistically shaped formats.

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    Area of Science:

    • Optical Communications
    • Signal Processing

    Background:

    • Phase estimation is crucial for coherent optical systems.
    • Conventional methods like blind phase searching (BPS) have limitations, especially with advanced modulation formats.

    Purpose of the Study:

    • To propose a novel, format-transparent phase estimation method.
    • To improve accuracy and reduce computational complexity compared to existing techniques.
    • To enhance performance for probabilistically shaped (PS) formats.

    Main Methods:

    • Minimizing Kullback-Leibler (KL) divergence between signal constellation and estimation samples.
    • Developing a recursive algorithm eliminating pre-decisions required in BPS.
    • Comparing performance against 2-stage BPS, Kalman filtering, PCA, and PCA+BPS.

    Main Results:

    • The KL method achieves comparable estimation error standard deviation to ideal BPS.
    • It offers better performance than Kalman filtering and PCA+BPS for PS formats.
    • The method demonstrates lower complexity than 2-stage BPS and improved noise resilience.

    Conclusions:

    • The proposed KL divergence method is a promising solution for format-transparent phase estimation.
    • It is particularly advantageous for coherent optical systems employing probabilistically shaped formats.
    • The method offers a robust and efficient alternative to existing phase estimation techniques.