Semi-blind channel estimation method for intelligent reflecting surface auxiliary communication system

Abstract

The invention discloses a semi-blind channel estimation method for an intelligent reflecting surface auxiliary communication system, which comprises the following steps that: firstly, a base station sends a corresponding intelligent reflecting surface reflection phase configuration signaling to an intelligent reflecting surface, wherein the intelligent reflecting surface is configured according to the signaling; a user sends a pilot symbol to the base station, and the base station performs initialization estimation on the cascade channel according to a received signal; then, the user sends a data symbol to the base station, and the data symbol is reflected to the base station through the intelligent reflecting surface; the base station firstly calculates a probability density function of a complete data set composed of a received signal and defect data, a log-likelihood function is solved for the probability density function, and by calculating cascade channel estimation when conditional expectation of the log-likelihood function is maximized, an accurate cascade channel estimation value is obtained through iteration. According to the invention, the cascade channel can be estimated by using fewer pilot signals, the pilot overhead of a large-scale intelligent reflector system is effectively reduced, and the communication rate of the system is improved.

Description

technical field [0001] The invention belongs to the communication field, and in particular relates to a semi-blind channel estimation method for an intelligent reflecting surface auxiliary communication system. Background technique [0002] With the rapid growth of mobile devices, various advanced wireless communication technologies such as massive MIMO and millimeter wave communication have been extensively studied. However, due to the increase in the number of antennas and radio frequency (RF) links, these technologies require higher hardware complexity and higher energy consumption to support them, resulting in higher system costs. In addition, due to the lack of control over the wireless propagation channel, it is difficult for these technologies to provide users with guaranteed quality of service (QoS) in harsh propagation environments. [0003] Facing the above problems, intelligent reflective surfaces (IRS) composed of a large number of passive reflective elements em...

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Problems solved by technology

[0005] The purpose of the present invention is to provide a semi-blind channel estimation method for an intelligent reflector-assisted communication system, so as to solve the problem that the existing pilot frequency estimation method cannot use less pilot signals to estimate the concatenated channel Technical issues with high frequency overhead

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