Blind signal separation method and device

A blind signal separation and mixed signal technology, applied in the field of signal separation, can solve problems such as insufficient directional aggregation, affecting the accuracy of separation results of signal separation methods, and unsatisfactory signal sparse characteristics, so as to improve aggregation and eliminate interference , The algorithm is simple and efficient

Pending Publication Date: 2021-01-12
WUHAN INSTITUTE OF TECHNOLOGY
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Problems solved by technology

However, due to the sparse characteristics of the signal are often not ideal, the direction aggregation is not obvious enough, so most of the received signal data seriously affects the efficiency of the signal separation method and the accuracy of the separation results

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  • Blind signal separation method and device
  • Blind signal separation method and device
  • Blind signal separation method and device

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Embodiment Construction

[0022] The principles and features of the present invention are described below in conjunction with the accompanying drawings, and the examples given are only used to explain the present invention, and are not intended to limit the scope of the present invention.

[0023] figure 1 It is a schematic flowchart of a blind signal separation method provided by an embodiment of the present invention.

[0024] Such as figure 1 As shown, a blind signal separation method includes the following steps:

[0025] Obtaining n mixed signals from n preset sensors respectively, and performing hypersphere mapping set processing on the n mixed signals respectively, to obtain a set of data points mapped to the hypersphere;

[0026] Perform estimation processing on the data points on the hypersphere to obtain the best dissimilarity threshold and the best clustering number;

[0027] dividing the set and the optimal dissimilarity threshold according to the optimal number of clusters to obtain mul...

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Abstract

The invention provides a blind signal separation method and device, and the method comprises the steps: obtaining n mixed signals from n preset sensors, and carrying out the processing of the hyperspherical mapping sets of the n mixed signals, and obtaining a set of data points mapped to a hyperspherical surface; estimating data points on the hyperspherical surface of the set to obtain an optimaldissimilar threshold value and an optimal clustering number; and dividing the set and the optimal dissimilar threshold according to the optimal clustering number to obtain a plurality of clusters. According to the method, the mixed data of each aggregation direction at the sphere center position is eliminated, so most of data with unobvious aggregation direction information is removed, the analysis efficiency is improved, the aggregation of clustering is improved through spherical projection, effective blind signal separation is ensured, the algorithm is simple and efficient, the clustering number and the clustering center can be accurately and conveniently analyzed, the analysis efficiency is improved, the implementation is easy, and the flexibility is higher.

Description

technical field [0001] The present invention mainly relates to the technical field of signal separation, in particular to a blind signal separation method and device. Background technique [0002] Blind signal separation refers to analyzing the original signal from multiple observed mixed signals. Often the observed signal is a mixture of multiple original signals that are unknown and independent of each other, and the way in which the signals are mixed is unknown. Blind signal separation methods are widely used in fields such as biomedicine, image processing, wireless communication, speech signal processing, and underwater acoustic signal processing. [0003] The original signal to be extracted by blind signal separation usually exhibits sparse characteristics in the frequency domain, so the mixed signal exhibits obvious direction aggregation characteristics in the time-frequency domain. The method of blind signal separation based on signal frequency domain sparsity uses ...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04L25/02H04L25/03
CPCH04L25/0238H04L25/0391
Inventor 王咏平
Owner WUHAN INSTITUTE OF TECHNOLOGY
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