Supercharge Your Innovation With Domain-Expert AI Agents!

Mobile phone positioning method and positioning device based on neural network

A technology of neural network and positioning method, applied in the field of mobile phone positioning method and positioning device based on neural network, to achieve the effect of precise positioning

Active Publication Date: 2019-03-08
NANJING NORMAL UNIVERSITY
View PDF5 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] Purpose of the invention: In order to solve the deficiencies of the prior art, the present invention provides a neural network-based mobile phone positioning method and positioning device, which solves the problem that the existing dual-microphone positioning method can only be positioned in a 2-dimensional space. Improve the positioning performance of mobile phones under the premise of increasing the number of microphones

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
  • Mobile phone positioning method and positioning device based on neural network
  • Mobile phone positioning method and positioning device based on neural network
  • Mobile phone positioning method and positioning device based on neural network

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0042] The present invention will be further described in detail below in conjunction with the examples, which are not intended to limit the present invention.

[0043] figure 1Among them, the mobile phone positioning device based on the neural network in this embodiment includes: an analog-to-digital conversion module, a feature extraction module, a voice activity detection module, and a neural network judgment module to carry out 3-dimensional spatial positioning of the mobile phone; the mobile phone is provided with a main microphone and a secondary microphone, respectively When making a voice call, the analog noise signal is received, and the noise signal includes the voice signal and the noise signal in the environment; Analog-to-digital conversion is performed on the signals to obtain the main microphone digital signal and the secondary microphone digital signal; the feature extraction module extracts features from the main microphone digital signal and the secondary mic...

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 discloses a handset positioning method and positioning device based on a neural network. The method comprises: training a neural network to a obtain the weight and the number of nerve cells of a trained neural network; successively performing analog-to-digital conversion and characteristic extraction on noisy signals received by a main microphone (MIC) and a secondary MIC, and determining the voice frame in the main MIC; and utilizing the trained neural network to perform spatial positioning processing on a handset in the voice frame. The handset positioning method can position a handset spatial position in a three-dimensional space only by using two MICs, overcome the defect that a current method can only perform positioning in a two-dimensional space by using two MICs, perform three-dimensional positioning on a handset, and provide a sound basis for later voice noising processing.

Description

technical field [0001] The invention relates to the technical field of spatial positioning of a mobile phone during a call, in particular to a neural network-based mobile phone positioning method and a positioning device. Background technique [0002] Using mobile phone calls can be seen everywhere in daily life. Due to different personal habits, each person holds a mobile phone in a very different posture. During a call, the rotation of the mobile phone will affect the dual-microphone voice activity detection and noise suppression, and the active reduction of the receiver position. Noise, the performance of the sensor on the mobile phone, etc. will be affected. Accurately locating the spatial position of the mobile phone during a call can help the system adjust in time to avoid performance degradation. The existing dual-microphone target sound source localization method uses the time delay and energy difference of the target voice between the two microphones as features, a...

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
Patent Type & Authority Patents(China)
IPC IPC(8): G10L25/30G10L25/48
Inventor 章雒霏张铭李晨
Owner NANJING NORMAL UNIVERSITY
Features
  • R&D
  • Intellectual Property
  • Life Sciences
  • Materials
  • Tech Scout
Why Patsnap Eureka
  • Unparalleled Data Quality
  • Higher Quality Content
  • 60% Fewer Hallucinations
Social media
Patsnap Eureka Blog
Learn More

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

© 2025 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com