Polarization demultiplexing and carrier phase restoration method based on adaptive Kalman

Abstract

The invention provides a polarization demultiplexing and carrier phase restoration method based on adaptive Kalman. The method comprises the following steps: firstly, performing polarization demultiplexing and carrier phase restoration by using an extended Calman filter; and secondly, updating an adjustment and optimization parameter Q value by using a covariance matching method, deciding a convergence condition of the algorithm according to the mean dz of the measurement margin to guide the update of the adjustment and optimization parameter Q value. The polarization demultiplexing and carrier phase restoration method has the beneficial effects that the polarization superimposition and carrier phase noise of the coherent light communication system can be processed at the same time, the adjustment and optimization parameter can be adapted to different values in different scenes, and the tolerance of the algorithm to the polarization rotation and the phase nose can be maximally improved; and meanwhile, the performance of the polarization is irrelevant to the initial adjustment and optimization parameter Q , and excellent performance of rapid convergence and high-precision estimation can be achieved.

Description

technical field [0001] The invention relates to the field of optical communication, in particular to a polarization demultiplexing and carrier phase recovery method based on adaptive Kalman. Background technique [0002] With the rapid development of technologies such as Pre 5G, data centers, and big data, people's requirements for network communication traffic are increasing day by day, and coherent optical communication technology with advantages such as high speed and large capacity is undoubtedly the key to meeting this demand. One of the techniques. During transmission, the signal is susceptible to random birefringence effects in the fiber. And with the improvement of the modulation format, the carrier phase noise caused by the laser line width will cause the signal to rotate sharply, thereby further deteriorating the quality of the signal. [0003] In a single-carrier coherent optical communication system, signal polarization crosstalk caused by random birefringence ...

AI Technical Summary

Problems solved by technology

However, these algorithms also have some essential deficiencies, such as: slow convergence speed of CMA, small tolerance of VV line width, high computational complexity of BPS

Compared with other algorithms, the EKF algorithm has the characteristics of high-speed convergence and high estimation accuracy. However, its convergence speed and accuracy are seriously affected by its tuning parameter Q value. It is difficult for traditional EKF to give the optimal solution in terms of tracking accuracy and speed.

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