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LTE fingerprint type positioning method based on neural network

A neural network and positioning method technology, applied in network planning, electrical components, wireless communication, etc., can solve the problem that the positioning points are only discrete points, and achieve the effect of improving user positioning accuracy

Inactive Publication Date: 2020-09-22
NANJING NRIET IND CORP
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AI Technical Summary

Problems solved by technology

[0004] The present invention is a method for indoor user positioning using LTE signals combined with a neural network model, which mainly solves the problem that the positioning points based on fingerprint positioning are only discrete points, and also improves the traditional three-point positioning method due to high time sensitivity. Positioning error, improved positioning accuracy

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  • LTE fingerprint type positioning method based on neural network
  • LTE fingerprint type positioning method based on neural network
  • LTE fingerprint type positioning method based on neural network

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Experimental program
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Embodiment Construction

[0029] like Figures 1 to 6 As shown, MATLAB was used for digital signal processing during the invention experiment, USRP (Universal Software Radio Peripheral, Universal Software Radio Peripheral) was used to collect LTE radio signals, and the official UHD was used to realize the connection between MATLAB and USRP.

[0030] SDR LTE construction

[0031]The present invention sets up the SDR LTE platform, and the hardware used is USRP. USRP is a peripheral device that allows a computer to receive and send signals like a radio device, and it can realize the functions of the digital baseband and intermediate frequency of the radio communication system. The USRP includes a motherboard and a daughter board. The motherboard mainly includes FPGA (Field-Programmable Gate Array, Field Programmable Gate Array), A / D converter and D / A converter. The main function of the motherboard is to transfer the collected data Sent to the computer, Figure 2 shows the working process of USRP. The da...

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Abstract

The invention discloses an LTE fingerprint type positioning method based on a neural network. A more accurate positioning strategy is realized through an LTE system in combination with indoor fingerprint positioning processed by a neural network algorithm. The defect that positioning points based on fingerprint positioning are only discrete points is overcome, and positioning errors caused by transmission time and the like in conventional three-point positioning are reduced. The method comprises the following steps: (1) a data collection stage: collecting data by using USRP hardware equipment;(2) a neural network training data stage: according to a neural network model, establishing a data training network and training, and establishing a data fingerprint database; (3) an online matchingstage: predicting by utilizing a neural network according to the actual data vector characteristics of the user.

Description

technical field [0001] The invention discloses an LTE fingerprint positioning method based on a neural network, which is mainly used to solve the problem of positioning a user in an indoor environment by combining the LTE system and the fingerprint mode. The invention relates to the technical fields of fingerprint matching and neural network, and relates to a method for using LTE signals to perform relatively high-precision positioning in an indoor environment. Background technique [0002] The location information of wireless users has an important impact on communication services, so positioning has become an important research content of fourth-generation communication systems (4G) and fifth-generation communication systems (5G), such as LBS (location-based services), 5G mm Beamforming (5G BeamForming), emergency services for public safety, etc. According to the user's environment, positioning is divided into outdoor positioning and indoor positioning. In the fourth gen...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04W16/22H04W64/00
CPCH04W16/22H04W64/006
Inventor 马建婷余锦军王昊王恒
Owner NANJING NRIET IND CORP
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