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High-performance large-scale MIMO downlink transmission channel estimation method

A downlink and transmission channel technology, which is applied in the field of high-performance large-scale multiple-input multiple-output downlink transmission channel estimation, and can solve problems such as large pilot frequency overhead, decreased system spectral efficiency, and large number of antennas.

Active Publication Date: 2019-01-22
SOUTHEAST UNIV
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Problems solved by technology

In massive MIMO systems, the number of antennas configured on the base station side is usually relatively large, and this type of channel estimation method will bring huge pilot overhead, resulting in a decrease in the spectral efficiency of the system

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  • High-performance large-scale MIMO downlink transmission channel estimation method
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  • High-performance large-scale MIMO downlink transmission channel estimation method

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Embodiment Construction

[0053] In order to enable those skilled in the art to better understand the solutions of the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention.

[0054] Such as figure 1 As shown, a high-performance massive MIMO downlink transmission channel estimation method disclosed in the present invention mainly includes the following steps:

[0055] 1) The base station configures a large-scale antenna array, and generates a large-scale beam set that can cover the entire cell through a beamforming method. In this step, the base station communicates with the single-antenna users in the cell. In the channel downlink transmission phase, all antennas of the base station synchronously send pilot signals to the target user.

[0056] 2) The user obtains the pilot signal sent by the base station, and according to the designed non-orthog...

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Abstract

The invention discloses a high-performance large-scale MIMO downlink transmission channel estimation method, which mainly comprises the following steps: a base station generates a large-scale beam setto cover the whole cell through beam shaping, and all antennas of the base station synchronously send pilot sequences to a target user; the base station generates a large-scale beam set to cover thewhole cell. After acquiring the pilot information, the user constructs the compressed sensing channel estimation problem according to the designed pilot matrix and dictionary. According to the block sparsity of the channel gain function after over-complete dictionary sampling, the compressed sensing recovery algorithm based on block sparsity is used to estimate the channel vector, and the estimation result is the required channel vector. The invention improves the sparsity of the channel vector under the overcomplete dictionary by using the multi-band modulation DPSS matrix, improves the performance of the channel recovery, reduces the operation complexity of the algorithm, and reduces the pilot overhead through the use of the non-orthogonal pilot matrix.

Description

technical field [0001] The invention belongs to the communication field, and in particular relates to a high-performance large-scale multiple-input multiple-output (Multiple-Input Multiple-Output, MIMO) downlink transmission channel estimation method based on compressed sensing under a flat block fading channel. Background technique [0002] In a massive MIMO system, the base station is configured to use a large-scale antenna array to serve multiple users at the same time. The use of massive MIMO technology can effectively reduce the interference between users, and greatly improve the spectrum utilization and power efficiency of the wireless communication system. For massive MIMO communication systems, the channel gain function after sampling has local sparsity. Therefore, the compressed sensing algorithm can be used to reconstruct the channel vector. [0003] In order to obtain the performance gain brought by the massive MIMO technology, the base station side needs to obt...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04L25/02H04B7/0413
CPCH04B7/0413H04L25/0204H04L25/0224H04L25/0242
Inventor 王闻今陈淑菁方佳兴甘露尤力高西奇
Owner SOUTHEAST UNIV
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