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Channel estimation method and system based on 5G communication network

A channel estimation and communication network technology, applied in the field of channel estimation based on 5G communication network, can solve the problems of poor receiver, system performance degradation, wireless channel time selective fading, etc., and achieve the effect of improving accuracy

Inactive Publication Date: 2018-11-13
INST OF AUTOMATION CHINESE ACAD OF SCI
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Problems solved by technology

OFDM is used in LTE because of its excellent characteristics, but the Doppler effect will lead to the time-selective fading characteristics of the wireless channel, which will have a bad impact on the receiver using coherent demodulation and degrade the system performance

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  • Channel estimation method and system based on 5G communication network
  • Channel estimation method and system based on 5G communication network
  • Channel estimation method and system based on 5G communication network

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Embodiment Construction

[0042] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments It is a part of embodiments of the present invention, but not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0043] Such as figure 1 As shown, a channel estimation method based on a 5G communication network provided by an embodiment of the present invention is applied to a reference signal with multiple subcarriers, including:

[0044] S11. Demodulate the reference signal transmitted through the channel to obtain a demodulation reference signal.

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Abstract

The invention relates to a channel estimation method and system based on a 5G communication network. The channel estimation method comprises the steps of demodulating a reference signal transmitted through a channel so as to obtain a demodulated reference signal; performing channel estimation on each subcarrier in the demodulated reference signal, so as to obtain a channel estimation result of each subcarrier; and calculating channel impact response of each subcarrier according to channel estimation results of a preset number of adjacent subcarriers of each subcarrier. In the method, the channel estimation result of each subcarrier in the reference signal is calculated, and the channel impact response of the subcarrier is calculated according to channel estimation results of the subcarrierand a preset number of adjacent subcarriers of the subcarrier, therefore, result errors of a calculation formula of a single subcarrier are averaged, so as to improve channel estimation accuracy.

Description

technical field [0001] The present invention relates to the technical field of wireless communication, in particular to a channel estimation method and system based on a 5G communication network. Background technique [0002] In the current mobile communication business, the system business capacity of wireless transmission increases sharply, thus putting forward extremely high requirements on the speed and performance of the system transmission technology. The Long Term Evolution technology launched by the 3rd Generation Partnership Project can well cope with the high-capacity voice and data required for wireless communication, so as to meet the challenges brought by the increasing traffic. Orthogonal frequency division multiplexing technology is a high-speed transmission technology in a wireless environment. It mainly divides a channel with a certain spectral width into multiple orthogonal sub-channels, and improves the frequency-selective channel to flat fading. OFDM is ...

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Application Information

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IPC IPC(8): H04L25/02H04L5/00
CPCH04L5/0048H04L25/0204
Inventor 林啸
Owner INST OF AUTOMATION CHINESE ACAD OF SCI