Carrier phase recovery method and device based on Kalman filtering algorithm

Abstract

The embodiment of the invention provides a carrier phase recovery method and device based on a Kalman filtering algorithm. The method comprises the following steps: performing carrier phase estimation on a 16QAM (Quadrature Amplitude Modulation) signal through a carrier phase estimation algorithm, and obtaining a first phase estimation value; performing phase recovery on the 16QAM signal according to the first phase estimation value, and obtaining the 16QAM signal after the first recovery; performing phase estimation on the recovered 16QAM signal through the Kalman filtering algorithm, and obtaining a second phase estimation value; and performing phase recovery on the recovered 16QAM signal according to the second estimation value, and obtaining the 16QAM signal after the second recovery. By using the carrier phase recovery method and the device based on the Kalman filtering algorithm provided by the embodiment of the invention, the error of phase estimation in the Kalman filtering algorithm is effectively reduced, and the influence of phase noise and amplitude noise is removed more accurately.

Description

technical field [0001] The present invention relates to the communication field, in particular to a carrier phase recovery method and device based on a Kalman filter algorithm. Background technique [0002] In recent years, high-speed analog-to-digital converter (Analog-to-Digital Converter, ADC) technology, integrated optical devices and digital signal processing (Digital Signal Processing, DSP) technology have promoted the development of coherent optical communication technology based on coherent detection in the field of optical communication. Rapid development. Among them, in a 16QAM (Quadrature Amplitude Modulation, quadrature amplitude modulation) coherent transmission system, phase noise and amplitude noise are a major factor limiting the performance of a high-speed and large-capacity digital coherent optical communication system. The phase noise is mainly caused by the laser line width, and the nonlinear interaction between ASE (Amplified Spontaneous Emission, ampli...

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Problems solved by technology

[0004] However, the decision error of the existing Kalman filter algorithm for the phase estimation at the current moment depends on the feedback of the carrier phase estimation at the previous moment. Since the carrier phase estimation at the previous moment is affected by the large noise phase, the phase estimation value is inaccurate. lead to a large estimation error in the phase estimation at the current moment

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