Phase Noise Estimation And Compensation Suppression Based 60GHz Millimeter-wave Communication System

With the continuous development of communication technology, people’s demand for communication is increasing. With its massive continuous bandwidth, high security, anti-jamming capability and so on, 60 GHz communication gradually becomes a research focus. But because it is in high frequency band, compared with 2.4 GHz and 5 GHz frequency signal, 60 GHz signal is affected by some special challenges, for example, the nonlinear distortion of radio frequency front-end.The main research of the paper is the problem of phase noise in the radio frequency nonlinear distortion. we study some feasible algorithms to estimate phase noise and realize the phase noise suppression.This study is related to 60 GHz wireless communication system based on single-carrier frequency domain equalization, using IEEE 802.11 ad standard channel model, the phase noise model and the corresponding transmission frame structure, to achieve a single-carrier block transmission. The paper is organized as follows:First, 60 GHz wireless communication research background and radio frequency nonlinear distortion of phase noise are introduced. At the same time the system model of 60 GHz communication system, channel characteristic and channel model are introduced in detail.Second, "one zero / one pole" phase noise model in the IEEE 802.11 ad standard is introduced. At the same time, bilinear transform is used to construct the phase noise simulation models. From two aspects of formula derivation and software simulation, the influence of phase noise are analyzed based on the single carrier frequency domain equalization of 60 GHz communication system of system performance, thus it is concluded that with the increase of phase noise level and the constant improvement of the modulation order, phase noise effect on the performance of the system will be more and more bigger, we need to consider some algorithms to realize the phase noise estimation and compensation.Again, in order to reflect degree of innovation, this paper does not adopt the traditional channel estimation methods, such as the LS channel estimation, serial correlation channel estimation, instead,compressive sensing algorithm of OMP is introduced to reconstruct the signal. Considering the phase noise will affect the performance of the system, this paper proposes two kinds of estimation and compensation of phase noise suppression algorithm: One is the autocorrelation matrix using the time-domain phase noise by eigenvalue decomposition to obtain feature vectors, using feature vectors to reconstruct the phase noise and realize phase noise compensation; The other one is to use the idea of block to realize the estimation and compensation of phase noise. Both the two algorithms use the iterative feedback in order to improve the accuracy. Compared with the traditional algorithms phase noise compensation algorithm described in the paper, the system performance in higher phase noise level and higher order modulation can be greatly improved. At the same time, block algorithm has better performance than the autocorrelation matrix algorithm.