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A Method of Target Signal Detection and Recognition Based on Waterfall Diagram

A technology of target signal and identification method, applied in the field of target signal detection and identification based on waterfall chart, can solve the problems of poor generalization ability, inability to realize complex signal detection and identification, etc., and achieve the effect of good generalization ability

Active Publication Date: 2020-08-25
CHENGDU UNION BIG DATA TECH CO LTD
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AI Technical Summary

Problems solved by technology

[0003] The existing signal detection and recognition methods cannot achieve high-precision signal detection results in complex signal environments; and the generalization ability is poor, and complex signal detection and recognition cannot be realized

Method used

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  • A Method of Target Signal Detection and Recognition Based on Waterfall Diagram
  • A Method of Target Signal Detection and Recognition Based on Waterfall Diagram
  • A Method of Target Signal Detection and Recognition Based on Waterfall Diagram

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Embodiment Construction

[0037] In order to make the purpose, technical solution and advantages of the present invention clearer, the present invention will be further elaborated below in conjunction with the accompanying drawings.

[0038] In this example, see figure 1 As shown, the present invention proposes a method for detecting and identifying target signals based on waterfall diagrams, comprising steps:

[0039] S100, preprocessing raw data to obtain a waterfall chart;

[0040] S200, using the U-net semantic segmentation method to perform semantic segmentation on the waterfall graph to obtain an initial target area;

[0041] S300, post-processing the initial target area through the convex hull detection of the Opencv image processing library, removing the segmentation border of the target area, and obtaining an accurate target area;

[0042] S400. Obtain the time and frequency position of the target signal in the waterfall diagram according to the precise target area.

[0043] As an optimizat...

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Abstract

The invention discloses a method for detecting and identifying a target signal based on a waterfall diagram, comprising the steps of: preprocessing original data to obtain a waterfall diagram; using the U-net semantic segmentation method to semantically segment the waterfall diagram to obtain an initial target area; processing the image through Opencv The convex hull detection of the library performs post-processing on the initial target area, removes the segmentation border of the target area, and obtains the precise target area; calculates the time and frequency position of the target signal in the waterfall diagram according to the precise target area. The invention can achieve good target detection effect in complex electromagnetic environment, and has good generalization ability.

Description

technical field [0001] The invention belongs to the technical field of signal detection, in particular to a method for detecting and identifying a target signal based on a waterfall diagram. Background technique [0002] When the signal receiving end receives the interfered signal, it uses information such as signal probability and noise power to determine the existence of the signal according to certain criteria, which is called signal detection. The signal receiving end estimates some parameter values ​​(such as time and frequency) of the transmitted signal as accurately as possible by using the received disturbed transmitted signal sequence, detects the target signal from the time and frequency range, and gives the time and frequency of the target signal frequency information. The waterfall diagram maps the received signal into a two-dimensional image with time and frequency as dimensions. Communication signal recognition technology is an important research direction in...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00G06K9/46G06N3/04
CPCG06V10/44G06N3/045G06F2218/00
Inventor 不公告发明人
Owner CHENGDU UNION BIG DATA TECH CO LTD
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