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Low complexity channel estimation method in large scale MIMO system

A low-complexity, channel estimation technology, applied in the field of massive MIMO wireless communication, can solve problems such as performance degradation and high computational complexity, and achieve the effect of low performance loss and reduced complexity

Active Publication Date: 2016-04-06
NANJING UNIV OF POSTS & TELECOMM
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Problems solved by technology

When the polynomial dimension L tends to infinity, the performance of the method converges to MMSE, but in the case of finite L, the performance of the method will be severely degraded
In order to solve this problem, the author proposed a weighted polynomial channel estimation method. Although this method can obtain higher estimation performance under a smaller L, the selection of the optimal weight value will also bring a lot of problems. high computational complexity

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  • Low complexity channel estimation method in large scale MIMO system
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  • Low complexity channel estimation method in large scale MIMO system

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Embodiment Construction

[0024] Further set forth the present invention below in conjunction with accompanying drawing:

[0025] figure 1 It is a system model diagram of the present invention. It is a massive MIMO system composed of J time-synchronized full-spectrum multiplexing cells, where each cell consists of a base station with N antennas and K single-antenna users. Orthogonal pilots are used in the cell, and the same pilot is used in different cells.

[0026] Taking the jth cell as the target cell, considering the uplink transmission link, assuming that the length of a single pilot signal is τ, and the pilot signal sent by users in each cell is P, then the signals received by the base stations of j cells can be expressed as

[0027]

[0028] In the formula, P is the pilot matrix of K×τ dimension, and the pilot matrix of different cells is completely reused. W j is N×τ dimensional additive white Gaussian noise, H ij is the channel matrix experienced by the user in the i-th cell to the bas...

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Abstract

The invention discloses a low complexity channel estimation method in a large scale MIMO system. The method comprises the following steps of firstly, establishing an optimization estimation problem of a channel covariance matrix; and secondly, according to an iteration relation of covariance estimation, using a Sherman-Morrison theorem to convert matrix inversion into a matrix and vector product form so that a method complexity is reduced. In the method, approximation estimation is performed on a channel correlation matrix and the Sherman-Morrison theorem is used to convert the matrix inversion in a MMSE method into the matrix and vector product so that a calculating complexity in the MMSE method is greatly reduced and a low performance loss is possessed.

Description

technical field [0001] The invention relates to a low-complexity channel estimation method in a massive MIMO system, and belongs to the field of massive MIMO wireless communication. Background technique [0002] With the continuous improvement of user needs, high-speed, high-quality communication systems are the research goals of the new generation of mobile communication technology. To achieve this goal, Massive Multiple-Input Multiple-Output (MIMO) communication systems have attracted widespread attention in the industry. The system obtains a large diversity gain by configuring a huge antenna array on the base station side, and greatly improves system capacity and energy efficiency. However, these advantages of the massive MIMO system are given based on the assumption that the base station has reliable channel state information, but in practice the channel state information is unknown and needs to be estimated through certain processing. Therefore, channel estimation tec...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04L25/02
CPCH04L25/0202H04L25/021H04L25/0242
Inventor 杨丽花谢建超邵世祥
Owner NANJING UNIV OF POSTS & TELECOMM
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