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AMP detection improvement method based on machine learning

A machine learning and message passing technology, applied in radio transmission systems, digital transmission systems, electrical components, etc., can solve problems such as inability to guarantee convergence, differences in convergence speed, etc., to improve the convergence speed, reduce the number of iterations, and reduce the probability of divergence. Effect

Active Publication Date: 2020-03-24
SOUTH CENTRAL UNIVERSITY FOR NATIONALITIES
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Problems solved by technology

[0005] The purpose of the present invention is to solve the problem that the above-mentioned AMP detection cannot guarantee convergence in all scenarios; and in scenarios where better convergence can be maintained, there is a large difference in convergence speed; and a machine learning-based AMP detection improvement method is provided

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  • AMP detection improvement method based on machine learning
  • AMP detection improvement method based on machine learning
  • AMP detection improvement method based on machine learning

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Embodiment Construction

[0021] The present invention will be further described in conjunction with the accompanying drawings and embodiments.

[0022] A method for improving AMP detection based on machine learning, characterized in that it proceeds in the following steps:

[0023] Step A, constructing the process of AMP detection as a multi-layer messaging network such as figure 2 As shown, and in the process of message transmission, the parameters that can be used for learning are set for some messages transmitted in AMP detection. As shown in Figure 3, the parameters that can be used for learning include: Coefficients, coefficients of compressed data brought into operations during message passing, threshold coefficients of soft threshold functions, and coefficients of output values ​​of soft threshold functions. In the multi-layer message passing network built by AMP detection, the coefficients that can be used for learning are set for the compression matrix, compressed data, threshold value of s...

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Abstract

The invention provides an AMP detection improvement method based on machine learning, and the method comprises the following steps: constructing an AMP detection iterative message transmission processinto a multi-layer message transmission network, and setting learning parameters for part of messages in the message transmission process; constructing a target function or epsilon t represents a setof parameters which are set in the step A and can be used for learning, Rt representing divergence probability, and Et representing an estimation error during message transmission convergence; training the available learning parameter set epsilon t set in the step A by utilizing big data of an actual application scene. According to the invention, the divergence probability of the AMP detection method is greatly reduced, and the convergence speed is effectively improved.

Description

technical field [0001] The present invention relates to a distributed message passing signal detection method, called an approximate message passing (AMP, approximate message passing) detection method, in particular to an improved method of AMP detection based on machine learning. This method belongs to the research content in the field of artificial intelligence and big data analysis. Background technique [0002] AMP detection has low computational complexity and small estimation error, and has great potential application value in the fields of compressed sensing and MIMO wireless transmission. Compressed sensing, also known as compressed sampling, is a technology that uses the sparsity of the signal to compress and reconstruct the signal. Compressed sensing is widely used in many applications in the field of electronic engineering, such as image compression, nuclear magnetic resonance, etc. Multiple-Input Multiple-Output (MIMO) technology refers to a technology that use...

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Application Information

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IPC IPC(8): H04L1/00H04B7/0413H04B7/0456
CPCH04L1/0048H04L1/005H04B7/0413H04B7/0456
Inventor 杨杨代光发陈少平
Owner SOUTH CENTRAL UNIVERSITY FOR NATIONALITIES
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