5G channel estimation time-frequency smoothing method adopting amplitude-phase separation technology

Abstract

The invention relates to a 5G channel estimation time-frequency smoothing method adopting an amplitude-phase separation technology, and the method comprises the steps: carrying out the LS channel estimation of a received signal, correcting the non-ideal factors of a channel, carrying out the amplitude-phase separation expansion in a frequency domain, separately conducting transforming to form time domains through IFFT (Inverse Fast Fourier Transform), selecting a raised cosine window with a proper window bilateral trailing length for smoothing, finally conducting transforming to a frequency domain through FFT (Fast Fourier Transform), and finishing time-frequency smoothing calculation of channel estimation after amplitude and phase combination. According to the method, by correcting non-ideal factors of a channel, searching of a window position can be reduced, the center position of a time domain window can be fixed at a zero point, and amplitude and phase separation and two-path independent processing are adopted, so that the amplitude and phase of the channel can obtain good denoising performance; and effective data expansion can reduce jitter at two ends of a channel, and better smoothness performance is obtained. Therefore, the problem that the channel estimation accuracy is reduced due to energy leakage and jitter of the two ends of the channel useful signal can be solved.

Description

technical field [0001] The present invention relates to the field of wireless communication technology, in particular, to a time-frequency smoothing method for 5G channel estimation using amplitude-phase separation technology. Background technique [0002] The most important feature of the OFDM system is that the signal is processed in the frequency domain. According to the pilot information, the LS algorithm is the simplest channel estimation method, but the LS algorithm does not consider the influence of noise, and the error is relatively large. The performance of the LMMSE algorithm is better than that of the LS algorithm. However, it needs to know the prior information of the channel, and the influence of noise is taken into account, and the calculation load is also relatively large. Therefore, in order to reduce resource consumption in existing engineering applications, the LS channel estimation algorithm is generally used, and then rely on other effective means to estim...

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Problems solved by technology

[0003] The present invention aims to provide a time-frequency smoothing method for 5G channel estimation using amplitude-phase separation technology to solve the problems of energy leakage and jitter at both ends of the useful signal of the channel, thereby reducing the accuracy of channel estimation

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