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Wireless channel scene identification method and system

A wireless channel and scene recognition technology, applied in wireless communication, transmission system, transmission monitoring, etc., can solve the problems of limited identification types, difficult direct access paths, and no special demonstration of outdoor wireless channel scene recognition methods

Active Publication Date: 2020-10-27
WUHAN UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, in outdoor communication, the transmitter has a certain distance from the base station, there are phenomena such as reflection and refraction, and it is difficult to have a direct path, and the channel is subject to the Rayleigh fading channel type
[0004] At present, the wireless channel scene recognition method has the defects of limited recognition range and limited recognition types. In view of the fact that the outdoor wireless channel scene recognition method has not been specially demonstrated, a wireless channel scene recognition method is proposed.

Method used

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  • Wireless channel scene identification method and system
  • Wireless channel scene identification method and system

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Embodiment 1

[0058] Such as figure 1 Shown is a schematic flowchart of a wireless channel scene recognition method provided by an embodiment of the present invention, including the following steps:

[0059] S1: Establish a wireless channel scenario model: In wireless communication, the transmitted signal is s(t)=Acos(2πfct), where A is the signal amplitude, f c Is the carrier frequency, and t is the time. A plane wave arrives at an angle θ, and the velocity of the moving station is v. The wave arrives along the horizontal direction. Let x(t) be the baseband transmit signal, then the corresponding passband transmit signal is: Among them, Re[(t)] represents the real part of s(t). After passing through the scattering channel with I propagation paths, the passband received signal is: Among them, y(t) represents the baseband received signal, C i with τ i respectively represent the channel gain and delay of the i-th propagation path, f i Indicates the Doppler shift. The speed v and wav...

Embodiment 2

[0094] Such as Figure 8 Shown is a schematic structural diagram of a system provided by an embodiment of the present invention, including:

[0095] The modeling simulation and signal processing module 801 is used to establish a wireless channel scenario model, and simulate different wireless channel scenarios according to the wireless channel scenario model, and for each wireless channel scenario, collect passband signals and perform preprocessing to obtain channel scenario baseband signals ;

[0096] The autocorrelation obtaining module 802 is used to extract the characteristic parameters of the channel scene baseband signal by using the autocorrelation method, and extract the autocorrelation function of the channel scene baseband signal;

[0097] The normalized channel scene power spectral density calculation module 803 is used to perform Fourier transform on the autocorrelation function to obtain the power spectral density function, and normalize the power spectral densit...

Embodiment 3

[0102] The present application also provides a computer-readable storage medium, such as flash memory, hard disk, multimedia card, card-type memory (for example, SD or DX memory, etc.), random access memory (RAM), static random access memory (SRAM), read-only Memory (ROM), Electrically Erasable Programmable Read-Only Memory (EEPROM), Programmable Read-Only Memory (PROM), Magnetic Storage, Magnetic Disk, Optical Disk, Server, App Store, etc., on which computer programs, program When executed by the processor, the wireless channel scene recognition method in the method embodiment is implemented.

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Abstract

The invention discloses a wireless channel scene identification method and system, and belongs to the field of wireless channel scene identification in wireless communication, and the method comprisesthe steps: firstly building a wireless channel scene model, simulating different wireless channel scenes through a computer, and obtaining a channel scene baseband signal y (t) pq; secondly, performing characteristic parameter extraction on the y (t) pq by an autocorrelation method, extracting an autocorrelation function Ah (t) pq, and performing Fourier transform on the Ah (t) pq to obtain a power spectral density function S (t) pq; then, normalizing the S (t) pq to obtain a normalized channel scene power spectral density function, designing a deep learning network, and inputting the normalized power spectral density function and a category label pair to train the built deep learning network; and finally, acquiring a transmission band signal at a receiving end of a system with a channelscene to be identified. The normalized scene power spectral density function obtained according to the above steps is used as an input of a trained classifier, and the output of the classifier is used as a label sequence of the channel scene, so that judgment of the channel scene can be effectively completed.

Description

technical field [0001] The invention belongs to the field of wireless channel scene recognition in wireless communication, and more specifically relates to a wireless channel scene recognition method and system. Background technique [0002] The transmission quality of wireless communication has a great relationship with the surrounding environment of wireless communication. Different wireless channel environments have different characteristics. Even in the same communication environment, due to the existence of the multi-path effect, there will be differences in the transmission signal, and the electromagnetic wave forms a multi-path effect through reflection, diffraction, and refraction during wireless channel transmission. When receiving the same electromagnetic wave signal passing through different paths at the receiving end, different multi-path delays and multi-path numbers will be obtained. Due to the existence of the multi-channel effect, there are differences in r...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04B17/382H04B17/336H04B17/391
CPCH04B17/382H04B17/336H04B17/3912H04B17/3911H04W24/06
Inventor 何怡刚宁署光何鎏璐陈铭芸时国龙张朝龙
Owner WUHAN UNIV
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