half-blind channel estimation method based on an EVD-ILSP

Abstract

The invention discloses an half-blind channel estimation method based on an EVD-ILSP The invention relates to a half-blind channel estimation method of an ILSP (International Link Station Protocol), which mainly solves the problem of channel estimation error caused by using a limited number of sample data in the traditional half-blind channel estimation method. The implementation scheme is as follows: 1) enabling a target cell base station to receive a data signal and a pilot signal and solves a covariance matrix of the data signal; 2) performing eigenvalue decomposition on the covariance matrix by adopting an EVD algorithm, and calculating a channel estimation value with ambiguity; 3) using the target cell base station to receive the pilot signal of each user to solve the ambiguity factorestimation value so as to obtain the initial channel estimation value of the target cell; and 4) according to the results of the step 2) and the step 3), obtaining a final channel estimation value byusing an ILSP algorithm. According to the method, the frequency band utilization efficiency of the system is improved, the channel estimation error caused by receiving the data signal by the limitedsample is reduced, and the method can be used for performing channel estimation between the base station signal and the user in a multi-cell multi-user large-scale MIMO system.

Description

technical field [0001] The invention belongs to the technical field of wireless communication, and in particular relates to a semi-blind channel estimation method, which can be used for channel estimation between base station signals and users in a multi-cell multi-user massive MIMO system. Background technique [0002] With the surge in the amount of mobile data and the number of connected devices in modern society and the emergence of new services such as the Internet of Things (IoT), e-banking, and e-commerce, people's demand for communication is increasing and their requirements are getting higher and higher. Communication technology with higher transmission speed, larger capacity, smaller delay, lower energy consumption, and higher security has become a hot spot in the current communication research field. Massive MIMO has the advantages of high spectrum utilization, low power consumption, and less delay, so it has become one of the core technologies of next-generation ...

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Problems solved by technology

[0004] In 2007, B.Muquet proposed a semi-blind channel estimation method based on the EVD algorithm. However, in the actual massive MIMO system, the system channel is not completely orthogonal due to the limited number of base station antennas in space, and limited samples are used. The received data replaces the real channel data, which makes the channel estimation of the multi-cell multi-user massive MIMO system have a large error

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