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Large-scale mimo linear iterative detection method based on non-ideal channel

A technology of linear iteration and detection method, applied in baseband system, baseband system components, radio transmission system, etc., can solve problems such as failure of detection method and damage to the excellent properties of M-dimensional matrix

Active Publication Date: 2019-06-21
SOUTHEAST UNIV
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Problems solved by technology

However, the introduction of the correlation between the user end and the base station end will destroy some excellent properties of the original M-dimensional matrix, and make some original detection methods face failure.

Method used

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  • Large-scale mimo linear iterative detection method based on non-ideal channel
  • Large-scale mimo linear iterative detection method based on non-ideal channel
  • Large-scale mimo linear iterative detection method based on non-ideal channel

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Embodiment Construction

[0033] In a massive MIMO system, generally N>>K (the number N of base station antennas is much greater than the number K of users). Let s denote a signal vector of order K×1, s containing the transmitted symbols generated from K users. Represents the channel response matrix, so the received signal vector at the base station can be expressed as

[0034] y=Hs+n

[0035] where n is an N×1 dimensional additive Gaussian white noise vector whose elements obey

[0036] The multi-user signal detection task of the base station is to estimate the transmitted signal symbol s from the received noise-added signal vector y. H can be obtained through time-domain or frequency-domain pilots. Using the minimum mean square error (MMSE) linear detection theory, the received signal vector is expressed as

[0037]

[0038] in is the output of the received vector y at the receiving end of the matched filter. It can be seen that the estimated value of the transmitted signal vector Can ...

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Abstract

The present invention discloses a method of large-scale MIMO linear iterative detection under non-ideal channel. The method utilizes the incomplete Cholesky decomposition as the preprocessing part of the conjugate gradient iteration, combining the advantages of the two, so that the problem of reduced rate of convergence in the traditional conjugate gradient algorithm under non-ideal channel or in a expanded system.Furthermore, a dynamic threshold based on channel correlation coefficient and system scale is proposed as an important parameter of preprocessing, which makes the solution of the whole system well balanced between complexity and performance.

Description

technical field [0001] The invention relates to the technical field of wireless communication, in particular to a large-scale MIMO linear iterative detection method based on non-ideal channels. Background technique [0002] The rapid development of wireless communication technology and the rapid popularization of smart phones have brought about explosive growth in people's demand for wireless data transmission. In order to further increase the data transmission rate, it is an efficient and relatively convenient way to construct a massive MIMO (Multiple-Input Multiple-Output) system by increasing the number of base station antennas. The massive MIMO system can deeply explore the degree of freedom of the spatial dimension, so that the base station can use the same time-frequency resource to serve multiple users. In 2010, Bell Labs scientist Thomas L. Marzetta proposed the concept of massive MIMO. For massive MIMO wireless communication, dozens or even hundreds of antennas ar...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04B7/0456H04B7/08H04L25/03
CPCH04B7/0456H04B7/0854H04L25/0391
Inventor 张川薛烨尤肖虎
Owner SOUTHEAST UNIV
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