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Signal edge detection method based on short-time Fourier transform data link

A short-time Fourier and edge detection technology, which is applied in the field of signal processing, can solve problems such as difficult to accurately extract edges, and achieve the effect of accurate edge detection and low signal-to-noise ratio

Inactive Publication Date: 2018-08-21
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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Problems solved by technology

However, the existing detection method needs to extract the edge of the received data link signal under the condition of high signal-to-noise ratio. When the signal-to-noise ratio is lower than 20db, it is difficult to accurately extract the corresponding edge.

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  • Signal edge detection method based on short-time Fourier transform data link
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  • Signal edge detection method based on short-time Fourier transform data link

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Embodiment Construction

[0026] In the case of non-cooperation, the present invention utilizes the specific frequency information contained in the data link signal and proposes to use the short-time Fourier transform to detect the edge of the reconnaissance receiving data link signal and extract the target signal in the noise background. The basic idea of ​​short-time Fourier transform: Divide the signal into many small time intervals, and analyze each time interval with Fourier transform to determine the frequency that the signal exists in the time interval. The processing method is to apply a sliding window w(t-τ) to the signal f(t) (τ is a shift factor, reflecting the position of the sliding window), and then perform Fourier transform, that is

[0027]

[0028] For a burst signal, when the non-cooperative received signal does not contain the target signal, there is only noise, and when the target signal is included, since the target signal contains certain frequency information, then compared to ...

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Abstract

The present invention provides a method for detecting the edge of a data link signal based on short-time Fourier transform. Since the data link signal contains specific frequency information, the present invention utilizes this feature to propose edge detection based on short-time Fourier transform, so that in non- Cooperative extraction of target signals. The edge detection effect of the invention is more accurate, and can adapt to the environment with lower signal-to-noise ratio.

Description

technical field [0001] The invention belongs to the field of signal processing, in particular to the edge detection technology of signals under non-cooperative conditions. Background technique [0002] When performing signal parameter estimation, modulation identification and demodulation processing, it is often assumed that the target signal already exists. How to determine the target signal from the noise-containing observation data, and determine the start and end time of the signal is also an important topic in the field of signal processing, especially in non-cooperative communication, where the transmitted information and channel conditions are unknown. At this time, it is even more important to accurately judge whether the observation data contains the target signal. [0003] Existing signal detection methods for non-cooperative situations generally start from the perspective of the time domain, and perform edge detection according to the difference in amplitude betw...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04B17/20H03K5/1534
CPCH03K5/1534H04B17/20
Inventor 李万春田正武王斌唐遒
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA