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Method for determining receiver algorithm for large-scale multiple-input multiple-output

A receiver algorithm and technology for determining methods, applied in transmission monitoring, transmission systems, radio transmission systems, etc.

Active Publication Date: 2020-02-11
袁正道
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  • Claims
  • Application Information

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Problems solved by technology

[0004] The purpose of the present invention is to provide a method for determining a large-scale multiple-input multiple-output receiver algorithm, which shows strong robustness to typical ill-conditioned channels such as correlated channels and non-zero channel mean values, and can solve large-scale MIMO channel matrix pathological problems in

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  • Method for determining receiver algorithm for large-scale multiple-input multiple-output
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  • Method for determining receiver algorithm for large-scale multiple-input multiple-output

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Embodiment Construction

[0059] Below in conjunction with accompanying drawing and embodiment the present invention is described in detail:

[0060] Such as figure 1 As shown, the method for determining the receiver algorithm for large-scale MIMO described in the present invention comprises the following steps:

[0061] A: Modeling large-scale multiple-input multiple-output systems;

[0062] For a large-scale MIMO uplink, it is assumed that there is a base station configured with M antennas in the system serving N single-antenna users at the same time, and the data symbol sent by the nth user is b n , after convolution coding to get the coding symbol c n , and then through quadrature amplitude modulation (QAM modulation) with an order of Q, the transmitted data x n . Due to QAM modulation, sending data x n The value of is limited to the value space of QAM modulation, namely x n ∈[α 1 ,...,α Q ], where [α 1 ,...,α Q ] represents the value space of QAM modulation. Assume that the channel fadi...

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Abstract

The invention discloses a method for determining a receiver algorithm for large-scale multiple-input-multiple-output. The method sequentially comprises the following steps of: A, modeling a large-scale multiple-input-multiple-output system; B, performing unitary transformation on the channel matrix in the step A by utilizing unitary transformation; C, establishing a factor graph model; and D, according to the factor graph model obtained in the step C, obtaining a receiver algorithm for large-scale multiple-input multiple-output by utilizing a message passing rule. According to the method, highrobustness is shown for typical ill-conditioned channels such as related channels and channel mean non-zero channels, and the ill-conditioned problem existing in a large-scale MIMO channel matrix canbe solved.

Description

technical field [0001] The invention relates to the field of communication receivers, in particular to a method for determining a receiver algorithm for massive multiple-input multiple-output (MIMO). Background technique [0002] At present, massive multiple-input multiple-output (MIMO) is to set up multiple antennas at the user and the base station side at the same time, which can fully tap space resources and improve spectrum utilization efficiency. The optimal receiver for MIMO systems needs to solve the global maximum posterior probability of all variables in the system, which has extremely high complexity. Since the factor graph-message passing algorithm was proposed, this method of iteratively solving approximate optimal solutions has been widely used in receiver design, wireless positioning, sparse channel estimation and other fields. This method first utilizes the Markov characteristics among the variables in the system to factorize and establish a factor graph, the...

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Application Information

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IPC IPC(8): H04B17/391H04B7/0452
CPCH04B7/0452H04B17/3912
Inventor 袁正道向春枝王友顺朱政宇高童迪丁东艳藏涛秦学珍史良
Owner 袁正道