Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

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
View PDF4 Cites 7 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

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

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • 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

Examples

Experimental program
Comparison scheme
Effect test

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...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

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...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
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
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products