A Channel Estimation and Channel Identification Method in an Intelligent Reflector Communication System

Abstract

The invention belongs to the technical field of wireless communication, and in particular relates to a channel estimation and channel identification method in an intelligent reflective surface communication system. Including: the base station receives the signal sent by the user, the signal sent by the user is reflected by the first intelligent transmitting element, the signal sent by the user is reflected by the second intelligent reflecting element and the mixed signal of the Gaussian noise signal, using the mixed signal symbol Channel estimation based on the properties of points and channel identification after channel estimation using likelihood probability. On the one hand, this method does not require prior information, and only uses the symbol points of the base station to receive the mixed signal matrix to complete channel estimation. In the process of symbol point extraction, an operator that uses the characteristic function to complete the extraction of symbol points from the mixed noisy signal is proposed. To overcome the influence of noise on channel estimation; on the other hand, this method proposes a channel identification algorithm based on likelihood probability to solve the problem of out-of-sequence in the estimated channel, which ensures that the channel of the reflector elements in the intelligent reflector communication system Identification is correct.

Description

technical field [0001] The invention belongs to the technical field of wireless communication, in particular to a channel estimation and channel identification method in an intelligent reflective surface communication system. Background technique [0002] In order to further improve the flexibility and quality of the communication system, relevant scholars Zhang Rui wrote in the literature Q.Wu and R.Zhang, "Intelligent Reflecting Surface Enhanced Wireless Network: JointActive and Passive Beamforming Design," 2018IEEE Global Communications Conference (GLOBECOM), Abu Dhabi, United Arab Emirates, 2018, pp.1-6, doi:10.1109 / GLOCOM.2018.8647620 first mentioned the passive device of intelligent reflective surface. The smart reflective surface is composed of multiple smart reflective elements. In actual scenarios, the reflection phase and amplitude of the smart reflective elements are jointly optimized to meet communication requirements. The premise of optimization is to know the ...

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Problems solved by technology

The existing bounded component analysis method (BCA, Bounded Component Analysis) only uses the geometric characteristics of the mixed signal without prior information to complete the channel estimation of the mixed signal, but the noise will affect the geometric characteristics, please refer to the literature S.Cruces, " Bounded component analysis of linear mixtures: A criterion of minimum convexperimeter," IEEE Transactions on Signal Processing, vol.58, pp.2141–2154, April2010, and for channel estimation of mixed signals, there is channel disorder after channel estimation One problem, unable to identify the channel

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