Channel estimation method and device based on time-domain sliding window

Abstract

The invention belongs to the technical field of mobile communication and provides a channel estimation method based on a time-domain sliding window. The method includes the following steps: according to reference signal sign frequency domain estimation values in the time-domain sliding window, calculating time-domain estimation coefficients corresponding to subcarriers on OFDM symbol positions; according to the reference signal symbol frequency domain estimation values and the time-domain estimation coefficients, performing time-domain channel estimation on OFDM symbols without reference signals and outputting a channel estimation value; and updating the reference signal symbol frequency domain estimation values in the sliding window. The invention also provides a channel estimation device based on the time-domain sliding window. The device is capable of obtaining a higher channel estimation precision compared with a linear interpolation estimation technology based on two reference signals; the time-domain sliding window is adopted and in terms of time, channel information in the history or at a present moment is mainly used and a repeated or mixed output mode is adopted so that the estimation performance is improved and at the same time, larger processing waiting or realization difficulties are not brought; and the real-time update of the sliding window ensures self-adaption to a time-varying channel in an estimation process.

Description

technical field [0001] The present invention belongs to the technical field of mobile communication, and in particular relates to a channel estimation method and device based on a time-domain sliding window in a Long Term Evolution (LTE) system. Background technique [0002] In the 3rd Generation Partnership Project (3GPP) LTE system, the least square estimation (Least Square, LS) is usually used to estimate the channel response value of the reference signal (Reference Signal, RS) position carrier, assuming The frequency domain expression of the received reference signal is as follows: [0003] Y p =X p h p +N p (1) [0004] Among them, X p Indicates sending reference signal, Y p Indicates the received reference signal, N p Indicates the noise interference superimposed on the received reference signal, H p Indicates the channel response value. The channel response after least squares estimation (LS) is as follows: [0005] H...

AI Technical Summary

Problems solved by technology

[0015] The existing technology uses two adjacent reference signal symbols to perform linear interpolation in the time domain. The processing delay is small, but the number of reference signal symbols used is small, resulting in unsatisfactory performance.

Images