A data model dual-drive mimo receiver

A data model and dual-drive technology, applied in the field of MIMO receivers, to achieve the effect of improving network performance, significant performance gains, and realizing dynamic updates

Active Publication Date: 2021-07-20
SOUTHEAST UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The technical problem to be solved by the present invention is to overcome the deficiencies of the prior art, provide a data model dual-driven MIMO receiver, and solve the problem of how to combine wireless transmission with deep learning to improve network self-adaptation

Method used

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  • A data model dual-drive mimo receiver
  • A data model dual-drive mimo receiver
  • A data model dual-drive mimo receiver

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Embodiment Construction

[0020] Embodiments of the present invention will be described below in conjunction with the accompanying drawings.

[0021] Such as figure 1 As shown, the embodiment of the present invention provides a block diagram of a data model dual-driven MIMO receiver system. The present invention introduces deep learning on the basis of traditional iterative receivers to improve receiver performance. The present invention expands the traditional iterative receiver, uses the traditional algorithm as the initial value, and then optimizes the receiver through deep learning technology to realize dynamic update and network self-adaptation, and can obtain significant performance gain on the basis of the traditional iterative receiver . Method of the present invention specifically comprises the following steps:

[0022] (1) Since deep learning networks usually deal with real-number domain data, the equivalent real-number domain MIMO system model needs to be considered as follows:

[0023] y...

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Abstract

The invention discloses a MIMO receiver with dual data model drivers, which is composed of T-layer networks with the same structure in series, wherein each layer of network includes a minimum mean square error denoiser and a linear estimator; the channel state information and the receiver The signal is used as the input of each layer network, where the t-th layer network is combined with the output of the (t‑1) layer network to calculate the error variance vector; the t-th layer network is calculated according to the input parameters to be trained, the error variance estimation vector and the linear estimator The extrinsic information is obtained, and according to the extrinsic information, the minimum mean square error denoiser is used to calculate the mean value of the posterior probability, which is output and passed to the next layer of network; the T-th layer network outputs the estimated value of the transmitted symbol. The invention can greatly improve network performance, realize dynamic updating, network self-adaptation, improve receiver performance, and obtain significant performance gain on the basis of traditional iterative receivers.

Description

technical field [0001] The invention relates to a data model dual-drive MIMO receiver, which belongs to the technical field of wireless communication. Background technique [0002] The MIMO system has become the mainstream technology of a large number of wireless communication standards because it can improve the spectrum efficiency and link reliability of the network. MIMO receiver is an important link in MIMO system design. In recent years, iterative receivers have become a research hotspot in MIMO systems. Due to its excellent performance and moderate computational complexity, a large number of iterative receiver algorithms have been proposed. However, with the development of wireless communication and business requirements, the future wireless communication system is required to be intelligent, capable of dynamic update and network self-adaptation. However, existing iterative receiving algorithms cannot meet the requirements. [0003] In recent years, machine learnin...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04B7/08
CPCH04B7/0854
Inventor 金石何恒涛温朝凯
Owner SOUTHEAST UNIV
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