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Self-adaptive channel estimation method based on compressed sensing and large-scale MIMO

An adaptive channel and compressed sensing technology, applied in channel estimation, baseband system, baseband system components, etc., to achieve the effect of narrowing the search range

Inactive Publication Date: 2016-06-08
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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Problems solved by technology

It solves the problem of using the index set at the previous moment to adaptively obtain shared channel information when the shared channel information is unknown, and it is more practical in the case where it is difficult to obtain accurate shared channel information in the actual environment

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  • Self-adaptive channel estimation method based on compressed sensing and large-scale MIMO

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Embodiment Construction

[0039] In order to make the purpose, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the implementation methods and accompanying drawings.

[0040] The channel estimation method of the present invention is used in the MIMO system that both the base station and the mobile terminal are uniform linear arrays, the number of antennas at the base station is M, and the number of antennas at the mobile terminal is N, and N is less than M (the specific value of N depends on The applicable scenario only needs to ensure that there is a received signal within each divided angle range) In this specific implementation manner, M=200, N=2 is taken as an example for description.

[0041] Set to receive signal Wherein the pilot Θ is composed of 200 (1,-1) pilot sequences of length T=53, the signal-to-noise ratio P=15dB, and the elements in the noise W are randomly generated independent and i...

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Abstract

The invention discloses a self-adaptive channel estimation method based on compressed sensing and large-scale MIMO and belongs to the technical field of wireless communication. The self-adaptive channel estimation method includes the steps that decomposition values Ur and Ut of a channel matrix in an angle domain are obtained, and a corresponding measurement matrix phi and a corresponding perceptual measurement value Y are calculated; iterative computation is conducted on a shared channel parameter estimation value (shown in the description) based on an index set Gamma n-1 at a previous moment of a system, the measurement matrix phi and the perceptual measurement value Y; a sparse signal estimation value (shown in the description) is calculated through iteration of the shared channel parameter estimation value (shown in the description), the phi and the Y; finally, a channel matrix estimation value (shown in the description) is obtained according to a formula (shown in the description) based on the number M of transmitting antennas, the signal-to-noise ratio P of the transmitting antennas and the pilot frequency length T of the transmitting antennas. The self-adaptive channel estimation method does not need knowing shared channel information for channel estimation, utilizes the index set at the previous moment in a self-adaptive mode and produces smaller errors compared with a traditional subspace tracking algorithm.

Description

technical field [0001] The invention relates to the technical field of wireless communication, in particular to an adaptive channel estimation method based on compressed sensing in a massive MIMO system. Background technique [0002] MIMO technology refers to the use of multiple transmitting antennas and receiving antennas at the transmitting end and receiving end, respectively, so that signals are transmitted and received through multiple antennas at the transmitting end and receiving end, thereby improving communication quality. It can make full use of space resources, realize multi-transmission and multi-reception through multiple antennas, and can double the system channel capacity without increasing spectrum resources and antenna transmission power. [0003] When the number of antennas at both ends of the MIMO is increased to infinity, the signal received by the target terminal will not contain thermal noise and large-scale fading (these will be averaged out by the sign...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04L25/02H04B7/02
CPCH04B7/024H04L25/024H04L25/0242H04L25/0256
Inventor 范禹涛杨海芬刘冬郑植林水生阎波
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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