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Weak signal detection method based on grouping range map

A weak signal detection and extremely poor technology, applied in the field of signal processing, can solve problems such as limited applicability, difficult balance between algorithm performance and complexity, etc.

Active Publication Date: 2021-07-09
JINLING INST OF TECH
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  • Abstract
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Problems solved by technology

However, the acquisition of such features often requires more observation samples, which will make the algorithm difficult to balance between performance and complexity, thus limiting its applicability

Method used

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  • Weak signal detection method based on grouping range map
  • Weak signal detection method based on grouping range map
  • Weak signal detection method based on grouping range map

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Embodiment Construction

[0051] The present invention is described in further detail now in conjunction with accompanying drawing.

[0052] like figure 1 The flow of the weak signal detection method based on the grouped range graph shown in the figure, the specific process includes the following steps:

[0053] 1. Calculate the power spectrum of the received signal.

[0054] Fast Fourier transform (FFT) is performed on the received signal after oversampling, and further calculation is performed to obtain a power spectrum. Specifically include:

[0055] The continuous-time received signal r(t) composed of the path-loss transmitted signal s(t) and additive white Gaussian noise (AWGN)n(t) is expressed as:

[0056] r(t)=s(t)+n(t) (1)

[0057] in

[0058]

[0059] where ξ(δ) represents the δth information symbol sample, and g(t) represents the 0 A continuous-time waveform that carries an information sample at an instant of , g(t-δT 0) represents the pulse corresponding to the δth symbol, which is...

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Abstract

The invention discloses a weak signal detection method based on a grouping range map, which comprises the following steps of: firstly, Fourier transform is carried out on an oversampled receiving signal for further calculation to obtain a power spectrum of the receiving signal; a range spectrum is then extracted from the power spectrum and converted into a specific undirected simple graph having a plurality of vertexes and edges; finally, the GINI coefficient of the graph is used as a judgment index, and whether a signal is detected or not is judged by checking whether the graph is a complete graph or not. The performance of the method provided by the invention is superior to that of a conventional signal detection algorithm under the conditions of small signal-to-noise ratio and medium samples.

Description

technical field [0001] The invention belongs to the technical field of signal processing, and in particular relates to a weak signal detection method based on a group range map. Background technique [0002] The detection of weak signals is a classic topic in signal processing, and has been widely used in radar electronic warfare, cognitive radio, deep communication and gravitational wave signal detection and other occasions. For example, in cognitive radio, due to the scarcity of spectrum resources, cognitive radio technology gradually replaces traditional static spectrum allocation technology and becomes the mainstream. Therefore, the spectrum sensing technology for detecting whether there is an idle frequency band is becoming more and more important, and the core of this technology is weak signal detection. In the detection of gravitational wave signals, since the gravitational wave signals are extremely weak, how to effectively detect them and improve the detection perf...

Claims

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Application Information

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IPC IPC(8): H04B17/309
CPCH04B17/309
Inventor 胡国兵赵敦博沈浏源陈正宇杨莉赵嫔姣
Owner JINLING INST OF TECH
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