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Blind Radius Directed Equalizer with Likelihood-based Selection for Probabilistically Shaped and High Order QAM | IEEE Conference Publication | IEEE Xplore
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Blind Radius Directed Equalizer with Likelihood-based Selection for Probabilistically Shaped and High Order QAM


Abstract:

We propose a novel equalization algorithm for high order and shaped M-QAM. Our blind RDE utilizes conditional filter updates based on the assignment likelihood of amplitu...Show More

Abstract:

We propose a novel equalization algorithm for high order and shaped M-QAM. Our blind RDE utilizes conditional filter updates based on the assignment likelihood of amplitude levels. Compared to traditional RDE we demonstrate a convergence rate of > 99% for up to 93% higher DGD.
Date of Conference: 06-10 December 2020
Date Added to IEEE Xplore: 04 February 2021
ISBN Information:
Conference Location: Brussels, Belgium

Funding Agency:


References

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