5G joint channel estimation method and system

Abstract

The invention provides a 5G joint channel estimation method and a 5G joint channel estimation system. The 5G joint channel estimation method comprises the following steps: 1, calculating a channel correlation matrix; 2, calculating a joint channel filter coefficient matrix according to the channel correlation matrix; 3, calculating a DePN sequence; and 4, performing channel estimation filtering according to the joint channel filter coefficient matrix and the DePN sequence. According to the method, the joint channel estimation technology is adopted, it does not need to assume that OCC subcarrier channels are the same, the channel of each subcarrier can be accurately estimated through the joint filtering matrix, and the channel phase change is tracked; in addition, the channel estimation values of all OCC subcarriers can be calculated, the channel estimation value at the pilot frequency does not need to be obtained through interpolation, and channel fluctuation is reduced.

Description

technical field [0001] The present invention relates to the field of 5G communication, in particular to a 5G joint channel estimation method and system. Background technique [0002] The downlink DMRS uses time-frequency OCC codes to distinguish different ports. The traditional channel estimation method assumes that the OCC subcarrier channels are the same. First, the rough channel estimation value of each port is calculated by solving the OCC, and then each port is filtered and noise-reduced. The complexity is high, and there is mutual interference between the ports, and When there are non-ideal factors such as timing and frequency deviation in the received signal, the OCC subcarrier channel phase cannot be assumed to be the same. Using traditional methods, channel estimation deviations exist, which affects demodulation performance. Contents of the invention [0003] In view of the defects in the prior art, the purpose of the present invention is to provide a 5G joint ch...

AI Technical Summary

Problems solved by technology

The traditional channel estimation method assumes that the OCC subcarrier channels are the same. First, the rough channel estimation value of each port is calculated by solving the OCC, and then each port is filtered and noise-reduced. The complexity is high, and there is mutual interference between the ports, and When there are non-ideal factors such as timing and frequency deviation in the received signal, the OCC subcarrier channel phase cannot be assumed to be the same. Using traditional methods, there is a deviation in channel estimation, which affects demodulation performance.

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