Signal demodulation method and device

Abstract

The invention discloses a signal demodulation method and device. The signal demodulation method comprises the steps of: obtaining received signals, wherein the received signals include a phase noise signal; on the basis of the received signals and a pre-set phase noise parameter, establishing a likelihood probability ratio integral model, wherein the phase noise parameter represents the phase noise signal, and is a random variable; performing phase rotation angle extraction transformation processing and discretization processing on the likelihood probability ratio integral model, so that a likelihood probability ratio discrete model is obtained, wherein the phase rotation angle represents the phase rotation angle obtained based on the phase noise signal; and, on the basis of the likelihoodprobability ratio discrete model, determining the likelihood probability ratio corresponding to the received signals, so that a demodulation result is obtained. Thereby, a base station performs phasecompensation and discrete calculation on the received signals, so that a demodulation result is obtained; therefore, the phase noise is overcome; and the signal receiving performance, the signal demodulation efficiency and the signal demodulation accuracy are improved.

Description

technical field [0001] The present invention relates to the field of communication technology, in particular to a signal demodulation method and device. Background technique [0002] In a long term evolution (Long Term Evolution, LTE) system, during signal processing of a signal transmitted by a terminal or a base station, phase noise independent of Gaussian white noise will be generated. The so-called phase noise refers to the random change of the phase of the system output signal caused by the system (eg, various radio frequency devices) under the action of various noises. [0003] Since the phase noise causes random changes in the phase of the transmitted signal, the phase noise will have a certain negative impact on the demodulation of the received signal, that is, the calculation of the log likelihood ratio (Loglikelihood Ratio, LLR), and the modulation and coding strategy (Modulation and Coding Scheme (MCS), the higher the level, the greater the negative impact. Among...

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Problems solved by technology

[0008] However, using the second method will reduce the receiving performance of the receiving end and reduce the efficiency of demodulation when performing phase noise verification

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