Robust Online Channel State Estimation Method Adaptive to Dynamic Changes in Noise Environment

Abstract

The invention relates to a robust online channel state information estimation method adaptive to dynamic changes of a noise environment. The robust online channel state information estimation method comprises the steps of: constructing an online machine learning model for dynamic noise estimation based on real-time varying characteristics of a communication noise environment; embedding a channel variation regular in the online machine learning model based on continuously varying characteristics of a channel, constructing a complete statistical model, and acquiring a complete online channel estimation machine learning model according to a maximum posteriori estimation method; saving environmental noise distribution parameters and channel state information of a previous period of time by utilizing base station storage equipment, and combining with the online channel estimation machine learning model to obtain high-precision channel state information estimation. The fast and high-precision online channel state information estimation method capable of being adaptive to the noise environment is implemented based on a machine learning principle, and is of great significance to the reduction of communication delay, reduction of pilot signal usage and increase of information transmission rate in actual application.

Description

technical field [0001] The invention relates to a method for estimating a wireless communication channel, in particular to a method for estimating robust online channel state information adaptive to dynamic changes in a noise environment. Background technique [0002] Wireless communication is one of the most active fields of science and technology development, and it is also a rapidly developing branch of the field of communication systems. Since the transmitted signal interacts with the environment in a very complicated way, the change of the state information of the wireless communication channel has certain adverse effects on the transmitted signal. To achieve the best performance in wireless communication systems, one of the main challenges is to provide accurate channel state information at the receiving end of the system, that is, to perform accurate channel state information estimation. [0003] Accurate estimation of channel state information is the basis for impro...

AI Technical Summary

Problems solved by technology

In addition, in the real communication environment, there are complex noises that change continuously in real time over time. Improving the robustness of the channel estimation method to this real noise environment is also an important issue that needs to be studied urgently.

There is still no online channel state information estimation method that can simultaneously meet the multiple requirements of high precision, high efficiency, and robustness

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