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Channel Estimation Method for Massive MIMO System Based on Block Structure Adaptive Compression Sampling Matching Pursuit Algorithm

A technology of compressed sampling and matching tracking, which is applied in the baseband system, channel estimation, baseband system components, etc., can solve the problems of inflexibility, large number of pilots, etc., achieve good estimation effect and reduce the effect of mean square error

Inactive Publication Date: 2021-10-15
NORTHEASTERN UNIV LIAONING
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Problems solved by technology

There are still some problems in the current compressed sensing algorithm for channel estimation in massive MIMO systems, such as the need to know in advance the channel sparsity that is difficult to obtain in practical applications, or the inflexibility in the selection of atoms, so that the number of pilots used in estimation is still large Wait

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  • Channel Estimation Method for Massive MIMO System Based on Block Structure Adaptive Compression Sampling Matching Pursuit Algorithm
  • Channel Estimation Method for Massive MIMO System Based on Block Structure Adaptive Compression Sampling Matching Pursuit Algorithm
  • Channel Estimation Method for Massive MIMO System Based on Block Structure Adaptive Compression Sampling Matching Pursuit Algorithm

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Embodiment Construction

[0018] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention more clear, the technical solutions in the embodiments of the present invention are clearly and completely described below in conjunction with the drawings in the embodiments of the present invention:

[0019] like figure 1 Shown: A massive MIMO system channel estimation method based on block-structure adaptive compressed sampling matching pursuit algorithm, through N T Antennas transmit pilot information, at N R A single-antenna user terminal receives, including the following steps:

[0020] S1. Calculate the pilot information measurement vector y received at the receiving end of each user, and establish a compressed sensing mathematical model for the pilot information transmission process according to the sparse consistency of the massive MIMO system channel, and construct a sensing matrix Φ, specifically include:

[0021] S101. Each antenna at the base stat...

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Abstract

The invention discloses a massive MIMO system channel estimation method based on a block-structure self-adaptive compression sampling matching pursuit algorithm. T Antennas transmit pilot information, at N R receiving by a single-antenna user end, including the following steps: S1. Calculate the pilot information measurement vector y received at each user receiving end, and establish compression for the pilot information transmission process according to the sparse consistency of the massive MIMO system channel Perceive the mathematical model and construct the perceptual matrix Φ; S2. Obtain the block structure perceptual matrix Ψ through the block structure transformation, and reconstruct the block sparse signal g through the reconstruction algorithm; S3. Reconstruct the sparse signal using the block structure adaptive compression sampling matching pursuit algorithm signal h. The invention utilizes the time-domain sparsity consistency of the channel of the massive MIMO system, uses a block structure self-adaptive compression sampling matching tracking algorithm to reconstruct the channel impulse response, and can estimate when the sparsity is unknown and can reduce the use of pilot frequency.

Description

technical field [0001] The invention relates to communication channel estimation, in particular to a massive MIMO system channel estimation method based on a block-structure self-adaptive compression sampling matching pursuit algorithm. Background technique [0002] With the development of wireless communication transmission technology in recent years, massive MIMO technology has become one of the key technologies of 5G. It can build multiple signal transmission channels between the transmitting antenna and the user end, making full use of space resources. Generally, massive MIMO systems configure dozens or even hundreds of antennas at the base station to form an antenna array, serving multiple users at the same time, and using spatial multiplexing and transmission diversity technologies to improve the information transmission rate and transmission reliability of the system and at the same time Improved spectrum utilization. Research on signal detection and correlation equa...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04L25/02H04B7/0413H04L27/26
CPCH04B7/0413H04L25/0202H04L25/0242H04L27/2601H04L27/2613
Inventor 佘黎煌张石庞晓睿
Owner NORTHEASTERN UNIV LIAONING
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