Signal equalization method, equalizer and storage medium for orthogonal time-frequency-space system

Abstract

The invention discloses a signal equalization method of an orthogonal time-frequency-space system. The method comprises the following steps: acquiring a time delay-Doppler domain receiving vector; performing matrix processing on the receiving vector to obtain a time delay-Doppler domain receiving signal matrix; performing two-dimensional fast Fourier transform on the received signal matrix; vectorizing the transformation result to obtain a processed receiving vector; obtaining a channel information feature matrix through channel estimation; calculating eigenvalue decomposition of a time delay-Doppler domain channel matrix according to the channel information eigenmatrix to obtain a diagonal matrix; solving an inverse matrix of the diagonal matrix to obtain a processed channel information inverse matrix; multiplying the processed receiving vector by a processed channel information inverse matrix to obtain a product vector; carrying out matrix processing on the product vector to obtain aproduct matrix; and performing two-dimensional inverse fast Fourier transform on the product matrix, vectorizing a transform result, and outputting the equalized receiving vector. The invention alsodiscloses an equalizer and a computer readable storage medium.

Description

technical field [0001] The invention relates to mobile communication technology, in particular to a signal equalization method, an equalizer and a computer-readable storage medium of an orthogonal time-frequency-space system. Background technique [0002] Orthogonal Frequency Division Multiplexing (OFDM) technology is one of the most widely used communication technologies at present, and it is mainly used to combat multipath effects that cause inter-symbol interference, and can also achieve high-speed data transmission at the same time. [0003] However, future wireless communication networks, such as 5G / B5G, will face highly dynamic communication channel environments, such as in high mobility scenarios (such as high-speed rail) and millimeter wave (mmWave) communications. Highly dynamic channels exhibit dual dispersion properties, including time dispersion due to multipath and frequency dispersion due to Doppler spreading. OFDM modulation used in current communication syst...

AI Technical Summary

Problems solved by technology

Existing OTFS system equalization techniques are mainly divided into two categories: the first category is nonlinear equalization method, which has good bit error rate performance, but its complexity is high, so its practicability is low; the second category is linear equalization method, but traditional The linear equalization technique generally includes the inversion operation of the channel matrix, and the complexity of matrix inversion and matrix multiplication is O((NM) 3 ), where N is the number of OTFS symbols, and M is the number of subcarriers

Obviously, for the large data dimension in real communication, the complexity of matrix inversion is unacceptable

Images