Method and device for signal channel estimation denoising post-treatment in multiantenna system

Abstract

The invention discloses a method for signal channel estimation denoising post-treatment in a multiantenna system, which comprises the following steps: obtaining a signal channel estimation result * of the multiantenna system, wherein the signal channel estimation result * comprises signal channel estimation results * of K users, namely, *=[ *1, *2, ellipsis, and *K], and k=1, 2, ellipsis, and k; obtaining a beamforming combination result *K of the multiantenna signal estimation of a user k and sequentially arranging the beamforming combination results of the users to obtain a row vector *=[*1,*2, ellipsis, and *K]; denoising the row vector * to obtain a denoised signal estimation result *; and according to a tap position set to zero in the denoised signal estimation result *, setting a corresponding position in the signal estimation result * to zero and outputting the signal estimation obtained after zero setting. The invention also discloses a device for signal channel estimation denoising post-treatment in the multiantenna system. The proposal of the invention can fully use the denoising capacity of multiple antennae and effectively improve the accuracy of the signal channel estimation denoising post-treatment.

Description

technical field [0001] The present invention relates to the technical field of channel estimation, in particular to a post-processing method and device for channel estimation and noise reduction of a multi-antenna system. Background technique [0002] In many communication systems, in order to improve transmission reliability, it is necessary to obtain the channel impulse response of the channel passed through the signal transmission process, that is, channel estimation. For example, in a TD-SCDMA system, in order to realize joint detection, beamforming or other measurement processes, the channel estimation process is essential. In many communication systems, channel estimation is often implemented by sending training sequences. In the process of data detection, since the channel information is known, noise and interference can be suppressed in a targeted manner, and the performance of data detection can be improved. [0003] However, the training used for channel estimati...

AI Technical Summary

Problems solved by technology

However, under the condition of low SNR, some paths will be submerged in the noise due to their small power, and thus be discarded as noise, which will lead to inaccurate channel estimation.

In addition, for the case of multi-antenna reception, the simple power addition here does not make good use of the noise reduction ability of the smart antenna

Images