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Iterative intelligent signal detection method based on neural network

A neural network and signal detection technology, applied in the field of iterable intelligent signal detection based on neural network, can solve the problems of complex distribution, difficult analysis and processing, and the detector can not work well.

Active Publication Date: 2019-11-19
南方电网互联网服务有限公司
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  • Abstract
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AI Technical Summary

Problems solved by technology

However, in some communication scenarios, the distribution of noise and interference is very complex, it is not easy to analyze and deal with, or it is difficult to find a model suitable for describing its distribution
In this case, traditional model-based detectors do not work well, which makes it urgent for us to study a new type of detector that can adapt to communication scenarios affected by complex noise or interference

Method used

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  • Iterative intelligent signal detection method based on neural network
  • Iterative intelligent signal detection method based on neural network
  • Iterative intelligent signal detection method based on neural network

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Embodiment Construction

[0036] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0037] figure 1 It is a flowchart of an iterative intelligent signal detection method based on a neural network provided by an embodiment of the present invention, and the method includes:

[0038] S101. Input the signal to be detected to the signal detector to obtain an estimated value of the interference signal;

[0039] Please refer to image 3 , at the receiving end of the wireless network system, an iterative intelligent receiver that is headed by a traditio...

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Abstract

The invention discloses an iterative intelligent signal detection method based on a neural network, and the method comprises the following steps: 1, inputting a to-be-detected signal to a signal detector, and obtaining an interference signal estimation value; 2, inputting the interference signal estimation value into a deep neural network to obtain the to-be-detected signal; and step 3, repeatingthe step 1 and the step 2 for several times, and outputting a final signal by the signal detector. The invention further provides an iterative intelligent signal detection device and equipment based on the neural network, and a storage medium. By adopting the method and the device, the signal detection performance in a scene subjected to complex dynamic related interference can be improved.

Description

technical field [0001] The invention relates to the field of signal detection, in particular to an iterative intelligent signal detection method based on a neural network. Background technique [0002] The multiple-input multiple-output (MIMO) communication system has the advantage of space diversity and can effectively meet the high data volume requirements of the next generation communication network. For existing traditional detectors such as maximum likelihood detector (MLD), minimum mean square error detector (MMSE) and zero-forcing detector (ZF), most of the detection algorithms used are based on a specific A mathematical model whose theoretical assumptions require knowledge of the specific distribution of noise or interference. However, in some communication scenarios, the distribution of noise and interference is very complex, which is not easy to analyze and deal with, or it is difficult to find a model suitable for describing its distribution. In this case, tradi...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04B7/0413H04L1/00H04L1/20
CPCH04B7/0413H04L1/0048H04L1/0054H04L1/20
Inventor 范立生夏隽娟陈庆春何科吴会军
Owner 南方电网互联网服务有限公司
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