Channel estimation method and device, computer readable storage medium, terminal

Abstract

A channel estimation method and device, a computer-readable storage medium, and a terminal, wherein the channel estimation method includes: performing preliminary channel estimation using pilots in the frequency domain to obtain multiple initial channel estimation values; using a filter bank to select The M initial channel estimation values ​​are filtered to obtain multiple filtering results, the filter bank includes multiple filters with various passband widths, and M is the number of taps of the filter in the filter bank; Among the plurality of filtering results, the filtering result with the smallest error value from the M initial channel estimation values ​​is selected as the channel estimation value. The accuracy and scope of application of channel estimation can be improved through the technical scheme of the invention.

Description

technical field [0001] The present invention relates to the field of communication technology, in particular to a channel estimation method and device, a computer-readable storage medium, and a terminal. Background technique [0002] In a modern communication system, especially a system using Orthogonal Frequency Division Multiplexing (OFDM) technology as a physical layer core technology, channel estimation is an important data processing operation. Specifically, channel estimation is the process of estimating the impact of the transmitted signal passing through the channel according to the data at the receiving end under certain criteria. The essence of channel estimation is to estimate channel state information. There are two ways to obtain channel state information: one way is to insert known information (such as pilot ), the channel information is estimated by the interference of the channel on the known information. Although this method has a certain loss on the system...

AI Technical Summary

Problems solved by technology

[0004] However, methods of the first type require transform operations and may distort during transform domain processing

The second type of method requires the use of channel statistics, which is limited in scenarios where some channel statistics are difficult to obtain or accurately calculated

The decision feedback of the third method may have the problem of decision error propagation

The fourth type of method requires iterative convergence, and also relies on a better initial channel estimate as the initial state of training. For some fast time-varying channels, such as high-speed railway scenarios, convergence is more difficult

The fifth type of channel filtering mostly uses a single filter coefficient, which cannot match the characteristics of the actual channel

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