Abstract
In this paper, we present a data-aided feedback technique based on the recursive least squares (RLS) algorithm to synchronize the local oscillator with the remote carrier by jointly estimating the carrier frequency offset (CFO) and phase noise (PN), even for large CFO ranges with better laser linewidth tolerance. The CFO and PN are modeled together by a linear regression model, and the filter coefficient vector is recursively learned using the RLS algorithm. Numerical simulation results on a polarization division multiplexed 16QAM, 224 Gbps data rate system with multiple spans demonstrate a significant improvement in Q-factor over other widely used techniques such as blind phase search and fourth-order periodogram maximization. Furthermore, the proposed technique has been shown to achieve synchronization of the carrier at a CFO as high as 10 GHz and exhibits a laser linewidth tolerance as high as 1.45 MHz in the low CFO range. Analysis of our proposed technique shows that computational complexity is much less compared to other widely used techniques.
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The datasets generated during and/or analyzed during the current study are available from the corresponding author on reasonable request
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Deka, A., Sharma, S. & Krishnamurthy, P.K. Low-complexity high linewidth-tolerant carrier synchronization for 16QAM using pilot-assisted RLS algorithm. Photon Netw Commun (2024). https://doi.org/10.1007/s11107-024-01019-2
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DOI: https://doi.org/10.1007/s11107-024-01019-2