Unlock instant, AI-driven research and patent intelligence for your innovation.

Near-field voice signal three-dimensional positioning algorithm based on MWCS

A voice signal and three-dimensional positioning technology, applied in positioning, calculation, complex mathematical operations, etc., can solve the problems of only locating a single sound source, inaccurate positioning, and large amount of calculation, so as to achieve low positioning failure rate and improve positioning accuracy , time-consuming effect

Pending Publication Date: 2021-11-30
NANJING NORMAL UNIVERSITY
View PDF0 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The traditional sound source localization algorithm has the problems of only locating a single sound source, inaccurate positioning under low signal-to-noise ratio, and a large amount of calculation.

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
  • Near-field voice signal three-dimensional positioning algorithm based on MWCS
  • Near-field voice signal three-dimensional positioning algorithm based on MWCS
  • Near-field voice signal three-dimensional positioning algorithm based on MWCS

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0049] The present invention performs near-field voice three-dimensional positioning by selecting the optimal measurement value and then sparsely reconstructing it using a compressed sensing method. The specific implementation details of each part of the present invention are as follows: a three-dimensional positioning algorithm for near-field voice signals based on MWCS, the method includes the following steps:

[0050] (1) Construct a near-field speech signal model, obtain a near-field speech signal through a microphone array, and convert it to the frequency domain;

[0051] (2) Construct a measurement matrix for the measurement plane according to the near-field speech signal model, and perform orthogonalization processing;

[0052] (3) the frequency of the voice signal is divided into several subbands, and the optimal measurement value is selected from each subband;

[0053] (4) Use the OMP algorithm to sparsely reconstruct the optimal measurement value;

[0054] (5) Step...

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 near-field voice signal three-dimensional positioning algorithm based on MWCS. The method comprises the steps of (1) constructing a near-field voice signal model, obtaining a near-field voice signal through a microphone array, and converting the near-field voice signal to a frequency domain; (2) constructing a measurement matrix for the measurement plane according to the near-field voice signal model, and carrying out orthogonalization processing; (3) dividing the frequency of the voice signal into a plurality of sub-bands, and selecting an optimal measurement value from each sub-band; (4) performing sparse reconstruction on the optimal measurement value by using an OMP algorithm; and (5) executing the step (4) on each sub-band of the voice signal frequency, and performing weighted average on a reconstruction result to obtain a final result.

Description

technical field [0001] The invention belongs to the field of voice signal processing, in particular to a three-dimensional positioning algorithm for near-field voice signals based on MWCS. Background technique [0002] Sound source localization of speech signals is an important research direction in sound source localization and has broad application prospects. Traditional sound source localization algorithms have problems such as only being able to locate a single sound source, inaccurate positioning under low signal-to-noise ratios, and a large amount of calculation. Introducing compressed sensing technology, compressed sensing theory is widely used in pattern recognition, channel estimation, radar signal processing and other fields. Compressed sensing theory states that as long as the signal is sparse or compressible, it can be sampled by a sampling rate much lower than the Nyquist criterion. When the sampling data covers the main information in the original signal, the...

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 Applications(China)
IPC IPC(8): G01S5/18G06F17/12G06F17/14G06F17/16
CPCG01S5/18G06F17/12G06F17/141G06F17/16
Inventor 李晨余凌浩曾毓敏
Owner NANJING NORMAL UNIVERSITY