Channel estimation method, system and device and readable storage medium

Abstract

The invention provides a channel estimation method, system and device and a readable storage medium. The method comprises the following steps: generating a delay-Doppler domain random sequence matrix, performing constellation mapping, obtaining a target data symbol matrix, and converting the target data symbol matrix into a time-frequency domain data symbol matrix; inserting the pilot frequency matrix into a transmitted time-frequency domain symbol matrix, performing inverse fast Fourier transform after obtaining a time-frequency domain transmitting end symbol matrix, performing parallel-to-serial conversion processing after obtaining a time-domain transmitting signal matrix, transmitting a serial transmitting end symbol sequence to a receiving end, performing serial-to-parallel conversion processing, and transmitting the serial transmitting end symbol sequence to the receiving end; obtaining a time domain receiving matrix of a receiving end and carrying out fast Fourier transform to generate a receiving signal matrix of a frequency domain; and modeling the fast time-varying channel by adopting a basis expansion model, and calculating a received signal after channel estimation according to the restored time domain channel matrix, thereby carrying out symbol error rate performance analysis. The method can be applied to an OTFS system and is compatible with an OFDM system, and the performance of the channel estimation method is effectively improved.

Description

technical field [0001] The present application relates to the field of wireless communication technologies, and in particular, to a channel estimation method, system, device, and readable storage medium. Background technique [0002] Orthogonal Time Frequency & Space (OTFS) technology is a new type of multi-carrier modulation technology that has emerged in recent years. Its principle is mainly to generate the required transmission in the Delay-Doppler (DD) domain. The signal is converted into the time-frequency domain through the inverse fast symplectic Fourier transform, so as to realize the two-dimensional expansion of the time-frequency domain of the signal, and the receiving end only needs to perform the opposite operation to solve the orthogonal frequency division complex The use of Orthogonal Frequency Division Multiplexing (OFDM) technology in dual-selected channels suffers from serious frequency selective fading interference. This technology can be implemented on the...

AI Technical Summary

Problems solved by technology

[0003] At present, the wireless communication system under the high-speed mobile environment is still a major research hotspot in the field of wireless communication technology. Due to the unavoidable multipath effect and Doppler effect under the high-speed mobile environment, the channel environment is complex and dynamically changing, resulting in Traditional channel estimation algorithms perform poorly, seriously affecting channel estimation performance

At the same time, due to the fast time-varying characteristics of high-speed mobile channels, the orthogonality between sub-carriers is severely damaged, and the introduction of inter-carrier interference (Inter Carrier Interference, ICI) will also lead to a significant drop in channel estimation performance.

[0004] During the process of conceiving and implementing this application, the inventors found at least the following problems: the commonly used pilot-assisted channel estimation methods include least squares (Least Squares, LS), minimum mean square error (Minimum Mean Square Error, MMSE), Linear Minimum Mean Square Error (LinearMinimum Mean Square Error, LMMSE) and other algorithms, in which the LS algorithm ignores the influence of noise, there is a large interference, and the MMSE and LMMSE algorithms rely on a large amount of channel statistical information, the calculation amount is large, and the complexity Higher, the restored time-domain channel is not ideal and other factors, there are defects in practical applications

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