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

Abstract

The invention discloses a channel estimation method and device, a computer readable storage medium as well as a terminal. The channel estimation method comprises the following steps: performing preliminary channel estimation by using pilots on a frequency domain to obtain a plurality of initial channel estimated values; performing filtering processing on selected M initial channel estimated valuesby using a filter bank to obtain a plurality of filtering results, wherein the filter bank includes a plurality of filters of a plurality of passband widths, and M is the tap numbers of the filters in the filter bank; and selecting a filtering result having a minimum error value with the M initial channel estimated values from the plurality of filtering results to serve as a channel estimated value. Through the technical scheme of the invention, the accuracy of channel estimation can be improved, and the application range can be expanded.

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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