Phase noise compensation and suppression method for large-scale MIMO system

Abstract

The invention belongs to the technical field of wireless communication and specifically relates to a phase noise compensation and suppression method for a large-scale MIMO system. The method providedby the invention mainly comprises the steps of carrying out maximal-ratio combining on receiving signals of antennas under the condition of assuming that phase noise is zero, thereby obtaining an initial value of a data symbol; carrying out iteration according to the obtained initial value through adoption of a variational Bayesian algorithm, wherein an estimation value of the data symbol is converged to a stable value under the condition that the receiving signal ri is known. The method has the beneficial effects that the data symbol can be judged in a high-order modulation mode within the large-scale MIMO system; and according to a judgment method, the inversion operation of a high-dimensional matrix is avoided in a traditional variational Bayesian inference algorithm, and the inversionoperation of the high-dimensional matrix is converted into the inversion operation of a diagonal matrix, so the system complexity is reduced, and the system performance is improved.

Description

technical field [0001] The invention belongs to the technical field of wireless communication, and in particular relates to a method for compensating and suppressing phase noise of a massive MIMO system based on a variational Bayesian inference algorithm. Background technique [0002] In wireless communication systems, massive MIMO systems are widely considered to be the core technology of next-generation mobile communications due to their high spectral efficiency and energy efficiency. By deploying hundreds or even more antennas in base stations, massive MIMO can Dozens of users can be served at the same time and frequency at the same time, thereby significantly improving spectrum efficiency. As the number of base station antennas N (N>>1) increases, the antenna gain of massive MIMO can reduce the power of each user's transmitted signal by a ratio of 1 / N, thereby significantly improving energy efficiency. [0003] However, in the transmission process of the massive M...

AI Technical Summary

Problems solved by technology

However, there is a certain difference between the crystal oscillator and the phase-locked loop that generate the carrier, resulting in a short-term random difference between the carrier frequency and the target frequency, which in turn causes random phase jumps in the generated sine wave signal, which is manifested as phase noise

For the modulation method of orthogonal frequency division, the phase noise will generate common phase error and inter-carrier interference, which will seriously affect the performance of the system

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