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Joint channel estimation method and device of large-scale MIMO system

A joint channel estimation, large-scale technology, applied in the field of communication systems, can solve the problems of reducing the accuracy of channel estimation, affecting the transmission efficiency of massive array MIMO systems, etc., so as to improve the accuracy of channel estimation, improve transmission performance, and reduce pilot pollution. the effect of

Inactive Publication Date: 2014-07-16
BEIJING UNION UNIVERSITY
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Problems solved by technology

[0008] In view of this, the present invention proposes a joint channel estimation method for Massive MIMO communication systems. The problem that frequency pollution reduces the accuracy of channel estimation and thus affects the actual transmission efficiency of massive array MIMO systems

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  • Joint channel estimation method and device of large-scale MIMO system

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Embodiment Construction

[0062] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below with reference to the accompanying drawings and examples.

[0063] Such as figure 1 As shown, a typical massive MIMO system, like a traditional cellular communication system, consists of several cells (assuming that the total number of cells in the entire network is L). For the lth cell (the cell number is l), it is called the target cell here, and it has Nc neighboring cells, wherein cell j is one of the Nc neighboring cells of cell l. The base station antenna of each cell has M antenna array elements, and the maximum number of users in each cell is K. figure 1 What is shown is for illustrative purposes only, and is not intended to limit the content of the present invention.

[0064] For the base station 300 of the target cell, the pilot signals it receives include the pilot signals sent from the users 100 ...

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Abstract

The invention provides a small-scale fading channel estimation method orientated to a large-scale array antenna MIMO communication system. In the method, firstly, large-scale fading estimation values from user terminals of all adjacent regions to a target cell base station are sorted from small to large, and strong interference users of the adjacent regions are selected according to channel estimation residue processing ability of the target cell base station; on the basis, a multi-cell large-scale fading matrix and a multi-cell system matrix are built, joint channel estimation is conducted on pilot frequency receiving signals separated from the base station according to the MMSE criterion, and therefore high-accuracy estimation of an ascending small-scale fading channel from a target cell user to the target cell base station is obtained. In addition, periodic random allocation is conducted on user ascending pilot frequency sequences according to the interference randomization principle, and adjacent region interference caused by cross-correlation difference among the pilot frequency sequences is reduced. The small-scale fading channel estimation method can effectively increase accuracy of small-scale fading channel estimation of the large-scale MIMO system.

Description

technical field [0001] The invention belongs to the field of communication systems, in particular to a small-scale fading channel estimation method for large-scale array antenna communication systems. Background technique [0002] The multiple-input multiple-output (MIMO) technology that has been practically applied at present is generally based on a small number of antenna arrays (usually less than 10 array elements). In recent years, a new technology, that is, massive array MIMO (Massive MIMO) technology has received extensive attention. Its most important feature is that the number of array elements of the antenna array has been significantly increased, generally reaching dozens or even hundreds of array elements. The communication system based on this antenna can significantly improve the system transmission reliability and information transmission rate through simple signal processing. That is, assuming that the base station has ideal channel state information (at thi...

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Application Information

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IPC IPC(8): H04L25/02H04L5/00H04B7/04
Inventor 李克宋晓勤汪淼佟婷婷彭亚
Owner BEIJING UNION UNIVERSITY
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