Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Blind estimation method for underdetermined hybrid matrix based on improved time frequency single-source region

A hybrid matrix and single-source region technology, applied in the field of communication, can solve problems such as the inability to obtain cluster centers, the influence of source signal sparsity, and the estimation error of underdetermined blind separation hybrid matrix is ​​easily limited by time-frequency resolution, etc., to achieve The effect of overcoming energy dispersion, overcoming time-frequency resolution limitations, and reducing estimation errors

Inactive Publication Date: 2017-05-31
XIDIAN UNIV
View PDF1 Cites 4 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the disadvantage of this patented technology is that the cluster center cannot be obtained under the condition that the source signal is not sufficiently sparse, and it is difficult to guarantee the estimation of the underdetermined mixing matrix with a small error in practical applications
However, the disadvantage of this method is that the estimation error of the underdetermined blind separation mixing matrix is ​​easily limited by the time-frequency resolution, and it is easily affected by the sparsity of the source signal in practical applications.

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
  • Blind estimation method for underdetermined hybrid matrix based on improved time frequency single-source region
  • Blind estimation method for underdetermined hybrid matrix based on improved time frequency single-source region
  • Blind estimation method for underdetermined hybrid matrix based on improved time frequency single-source region

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0034] The present invention will be further described below in conjunction with the accompanying drawings.

[0035] Refer to attached figure 1 , the concrete steps of the present invention are as follows.

[0036] Step 1: Store the collected communication signals into the observation signal matrix.

[0037] Step 2, perform Gabor transformation on the observed signal matrix to obtain the time-frequency signal matrix.

[0038] Step 3, constructing a time-frequency single-source region signal matrix.

[0039] Step 1, according to the following formula, calculate the angle coefficient of the column vector in each time-frequency signal matrix:

[0040]

[0041] Among them, ρ represents the angle coefficient of the column vector in the time-frequency signal matrix, R{} represents the operation of taking the real part, X(t,k) represents the column vector corresponding to the acquisition time t and the frequency point k in the time-frequency signal matrix, ( ·) T Indicates th...

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 blind estimation method for an underdetermined hybrid matrix based on an improved time frequency single-source region. The method comprises the following steps: firstly, acquiring an observation signal matrix, and performing Gabor conversion on the observation signal matrix, thereby acquiring a time frequency signal matrix; then, constructing a time frequency single-source region signal matrix, and removing a column vector with a low energy value in the time frequency single-source region signal matrix; and finally, clustering the time frequency single-source region signal matrix, thereby acquiring the underdetermined hybrid matrix. According to the invention, the defects of higher hybrid matrix estimation error and easy influence from source signal sparsity of the prior art can be overcome, so that the blind estimation method can maintain a lower hybrid matrix estimation error and can reduce the requirement for the source signal sparsity.

Description

technical field [0001] The invention belongs to the technical field of communication, and further relates to an underdetermined mixing matrix blind estimation method based on an improved time-frequency single source region in the technical field of signal processing. The invention can process military communication signals, image signals and biomedical signals, and realize blind estimation of underdetermined mixing matrix by using observation signals received by sensors. Background technique [0002] Underdetermined blind separation is to estimate the source signal only by using the observed signal when the parameters of the transmission channel are unknown and the number of observed signals is smaller than the number of source signals. The underdetermined blind separation technology only needs a small number of sensors to receive mixed signals, which not only meets specific occasions, but also saves costs. [0003] The existing underdetermined blind separation method for e...

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): G06F19/00
CPCG16Z99/00
Inventor 付卫红农斌周新彪田德艳韦娟黑永强李晓辉刘乃安
Owner XIDIAN UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products