Working method of spatial modulation system based on deep denoising neural network

A technology of spatial modulation and working method, which is applied in neural learning methods, biological neural network models, transmission systems, etc., and can solve the problem that spatial modulation detection technology is not widely developed.

Active Publication Date: 2020-03-31
SHANDONG UNIV
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Problems solved by technology

However, spatial modulation detection techniques using deep learning have not been widely developed.

Method used

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  • Working method of spatial modulation system based on deep denoising neural network
  • Working method of spatial modulation system based on deep denoising neural network
  • Working method of spatial modulation system based on deep denoising neural network

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Embodiment

[0073] A working method for spatially modulated systems based on deep denoising neural networks such as figure 1 As shown, the spatial modulation system includes a transmitter, N t root transmitting antenna, N r Root receiving antenna, receiver, constructed deep denoising autoencoder model; N t =8,N r = 4, the set of modulation symbols used by the transmitter is The modulation order is M; the transmission of the system space domain information is still based on the principle of antenna switching. According to the mapping rule of spatial modulation, the steps are as follows:

[0074] (1) The transmitter maps the bit information, and the serial-to-parallel converted bit information is mapped to the corresponding signal vector x, x=e i s, is a unit vector whose i-th element is 1 and the rest of the elements are 0, the modulation symbol means N t A set of ×1-dimensional real matrixes;

[0075] (2) The signal vector x activates the i-th transmit antenna and then sends...

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Abstract

The invention relates to a working method of a spatial modulation system based on a deep denoising neural network. According to the method, complex signals and modulation symbols are decomposed into real number data, a denoising deep neural network is constructed, data with noise are used as input of a model, the serial number of an antenna and the modulation symbols are combined to obtain corresponding labels, and then model training is carried out. On the basis, a deep neural network scheme is provided, and a simulation experiment result shows that the detection algorithm based on the deep neural network is high in robustness. In the aspect of reliability, the performance is far better than that of an MRC scheme.

Description

technical field [0001] The invention relates to a working method of a space modulation system based on a deep denoising neural network, and belongs to the technical field of wireless digital transmission. Background technique [0002] Human society has gradually entered the information age, and technologies such as the Internet, Internet of Things, cloud computing, and big data have continuously enriched the connotation of information and communication technology, enabling it to develop from low-rate services such as voice and information in the early days to mobile high-definition video, mobile office, High-speed services such as mobile online games. With the extensive development of wireless communication technology in wireless network applications and services, advanced wireless applications such as various smart terminal access, virtual reality, augmented reality, and the Internet of Things have pushed wireless communication technology into the 5G era, ushering in a thou...

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Application Information

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IPC IPC(8): G06K9/62G06N3/08H04B7/0413H04B7/0452
CPCG06N3/08G06N3/084H04B7/0452H04B7/0413G06F18/24G06F18/214Y02D30/70
Inventor 张文胜周鹏
Owner SHANDONG UNIV
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