Depth signal detection method for high-speed rail

A signal detection and high-speed rail technology, applied in the field of wireless communication, can solve the problem of scenarios without considering the high mobility of high-speed rail, and achieve the effects of saving pilot overhead, improving system performance, and reducing the bit error rate of signal detection.

Active Publication Date: 2019-07-26
NANJING UNIV OF POSTS & TELECOMM
View PDF2 Cites 10 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The shortcoming of the above literature is that it does no

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
  • Depth signal detection method for high-speed rail
  • Depth signal detection method for high-speed rail
  • Depth signal detection method for high-speed rail

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0032] The technical solution of the present invention is described in further detail below in conjunction with the accompanying drawings: this embodiment is implemented under the premise of the technical solution of the present invention, and detailed implementation methods and specific operating procedures are provided, but the protection scope of the present invention does not Limited to the following examples.

[0033] figure 1 The schematic diagram of the system model is shown in the figure. In the figure, the deep neural network is combined with the OFDM transmission system, without channel estimation, and the transmitted signal is directly detected by the neural network model at the receiving end.

[0034] figure 2 Shown is a schematic diagram of area division, in which the coverage of a base station is divided into multiple areas according to the communication distance between the base station and the train.

[0035] image 3 Shown is the network block diagram of the...

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 provides a depth signal detection method for a high-speed rail, and the method comprises the steps: firstly, collecting data, and collecting a plurality of sending signals and receivingsignals in each scene along the high-speed rail according to different environment types along the high-speed rail; secondly, dividing scenes, and further dividing each scene into a plurality of regions through data analysis to meet the compatibility of the neural network; thirdly, establishing a deep high-speed rail signal detection neural network model; secondly, training a high-speed rail signal detection neural network offline; and finally, carrying out online real-time signal detection, determining the position information of the high-speed rail through a GPS in the driving process of thehigh-speed rail, judging the area where the high-speed rail is located, selecting a corresponding neural network model, then inputting signals received in real time into the trained neural network, and outputting signals sent by the base station end in real time. The system performance is greatly improved, the signal detection bit error rate is reduced, and the algorithm is more robust. The method used in the invention does not need to estimate the channel, thereby saving the pilot cost.

Description

technical field [0001] The invention relates to a high-speed rail-oriented deep signal detection method, specifically combines deep learning and high-speed rail communication to provide a signal detection method based on big data deep learning in a high-speed rail scene, and belongs to the technical field of wireless communication. Background technique [0002] As an important means of transportation for our people's modern travel, high-speed rail is the main reason why people choose it because of its rapidity, safety, and comfort. However, the requirements for high-speed rail communication technology are also getting higher and higher. The establishment of high-speed rail communication technology is not only to meet the mobile communication needs of customers, but also to provide safe and reliable data information analysis for high-speed rail during driving, reducing travel risks. It can be said that high-speed rail communication technology is the soul of the entire high-spe...

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): H04L27/26H04B7/08G06N3/08G06N3/04
CPCH04L27/2647H04B7/08G06N3/084G06N3/045
Inventor 李大鹏陈中康徐友云
Owner NANJING UNIV OF POSTS & TELECOMM
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap