Weak signal capturing system and method for electronic communication network

Through adaptive filtering and signal reconstruction technology combined with multi-stage filtering and noise suppression, the problem of weak signal capture in electronic communication networks is solved, and efficient signal detection and interference removal in complex environments is achieved, reducing cost and power consumption.

CN120474569APending Publication Date: 2025-08-12XIAN AERONAUTICAL UNIV
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Patent Information

Application Number
CN202510607823.9
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-05-13
Publication Date
2025-08-12

AI Technical Summary

Technical Problem

In modern electronic communication networks, the capture of weak signals is affected by noise and interference, and is difficult to effectively capture especially in long-distance communication or complex environments. Traditional methods are costly, energy consumption is high and susceptible to interference.

Method used

Adaptive filtering and signal reconstruction technology are adopted, combined with multi-stage filtering and noise suppression, and through signal reception, preprocessing, enhancement and detection modules, filter parameters are dynamically adjusted to improve the signal detection success rate and remove interference.

Benefits of technology

Effectively capture weak signals in low signal-to-noise ratio environments, improve signal detection success rate, ensure signal purity and continuity and stability of the capture process, and reduce hardware costs and power consumption.

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Abstract

The invention discloses an electronic communication network weak signal capturing system and method, and the system comprises a signal receiving module, the output end of the signal receiving module is electrically connected with a preprocessing module, the output end of the preprocessing module is electrically connected with a signal enhancement module, and the output end of the signal enhancement module is electrically connected with a signal detection module. The output end of the signal detection module is electrically connected with a signal output module. According to the method, the adaptive filtering and signal reconstruction technology is adopted in the process of capturing the weak signals of the electronic communication network, the weak signals can be effectively captured in the low signal-to-noise ratio environment, the success rate of signal detection is remarkably improved, meanwhile, due to the fact that the multi-stage filtering and noise suppression technology is adopted on the whole, interference can be effectively removed in the complex electromagnetic environment, and the signal detection accuracy is improved. In addition, the filter has the real-time processing capability in the operation process, can dynamically adjust the parameters of the filter, and adapts to the change of the signal environment.
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Description

Technical Field

[0001] The present invention relates to the technical field of electronic communications, and in particular to a system and method for capturing weak signals in an electronic communications network. Background Art

[0002] In modern electronic communication networks, signal transmission is often affected by noise, interference, and multipath effects, resulting in weakened signal strength at the receiving end. Capturing weak signals becomes a technical difficulty, especially in long-distance communications or complex environments. Traditional signal capture methods usually rely on improving hardware sensitivity or increasing signal transmission power, but these methods have problems such as high cost, high energy consumption, and susceptibility to interference. Summary of the Invention

[0003] The object of the present invention is to provide a system and method for capturing weak signals in an electronic communication network.

[0004] To achieve the above-mentioned objectives, the present invention provides the following technical solutions: a weak signal capture system for an electronic communication network, comprising a signal receiving module, the output end of the signal receiving module being electrically connected to a preprocessing module, the output end of the preprocessing module being electrically connected to a signal enhancement module, the output end of the signal enhancement module being electrically connected to a signal detection module, and the output end of the signal detection module being electrically connected to a signal output module.

[0005] As a preferred solution, the signal receiving module includes an antenna, a low-noise amplifier, a radio frequency front-end circuit and an analog-to-digital converter, the output end of the antenna is electrically connected to the input end of the low-noise amplifier, the output end of the low-noise amplifier is electrically connected to the input end of the radio frequency front-end circuit, and the output end of the radio frequency front-end circuit is electrically connected to the input end of the analog-to-digital converter.

[0006] As a preferred solution, the radio frequency front-end circuit consists of a mixer and a local oscillator.

[0007] As a preferred embodiment, the preprocessing module includes a bandpass filter, a low-pass filter, a digital filter and a noise suppression circuit, the output end of the bandpass filter is electrically connected to the input end of the low-pass filter, the output end of the low-pass filter is electrically connected to the input end of the digital filter, and the output end of the digital filter is electrically connected to the input end of the noise suppression circuit.

[0008] As a preferred solution, the signal enhancement module includes an adaptive filter, a signal reconstruction unit, a digital signal processor and a spectrum analysis unit, the output end of the adaptive filter is electrically connected to the input end of the signal reconstruction unit, the output end of the signal reconstruction unit is electrically connected to the input end of the digital signal processor, and the output end of the digital signal processor is electrically connected to the input end of the spectrum analysis unit.

[0009] As a preferred solution, the signal detection module includes a matched filter, a correlation detector, a threshold decision device and a feature extraction unit, the output end of the matched filter is electrically connected to the input end of the correlation detector, the output end of the correlation detector is electrically connected to the input end of the threshold decision device, and the output end of the threshold decision device is electrically connected to the input end of the feature extraction unit.

[0010] As a preferred solution, the signal output module includes a digital-to-analog converter, a data interface, a display unit and a storage unit, and the output end of the digital-to-analog converter is electrically connected to the input ends of the data interface, the display unit and the storage unit respectively.

[0011] As a preferred solution, the data interface is a USB interface, and the display unit consists of an LCD screen and an oscilloscope.

[0012] As a preferred solution, the storage unit consists of a solid state drive and an SD memory card.

[0013] A method for capturing weak signals in an electronic communication network, comprising the following steps:

[0014] A. Signal Reception: The antenna in the signal receiving module receives the original signal from the electronic communication network. The low-noise amplifier performs preliminary amplification on the received weak signal, minimizing the introduced noise. The RF front-end circuit down-converts the high-frequency signal to an intermediate frequency or baseband signal, and the analog-to-digital converter converts the analog signal into a digital signal for subsequent processing.

[0015] B. Preprocessing: The preprocessing module uses a bandpass filter, low-pass filter, digital filter, and noise suppression circuit to perform preliminary filtering and noise reduction on the received signal, removing some high-frequency noise and interference signals while retaining possible weak signal components.

[0016] C. Signal Enhancement: The adaptive filter in the signal enhancement module uses an adaptive filtering algorithm to process the signal in real time, dynamically adjusting the filtering parameters to maximize weak signal enhancement and suppress noise. Meanwhile, the signal reconstruction unit uses a signal processing algorithm to restore and enhance the signal, further improving signal quality.

[0017] D. Signal Detection: The matched filter in the signal detection module maximizes the signal-to-noise ratio (SNR) and extracts the target signal. A correlation detector calculates the correlation between the received signal and the reference signal to detect the presence of the target signal. A threshold decision unit determines whether the signal is a valid target signal based on a preset threshold, preventing false detections. The feature extraction unit extracts the signal's time, frequency, and modulation features for further analysis and identification.

[0018] E. Signal output: The captured target signal can be converted through the digital-to-analog converter in the signal output module, and stored and transmitted through the storage unit and data interface. At the same time, the real-time captured signal waveform and spectrum can be displayed through the display unit, thereby completing the capture of weak signals in the electronic communication network.

[0019] Compared with the prior art, the present invention has the following beneficial effects:

[0020] The present invention adopts adaptive filtering and signal reconstruction technology in the process of capturing weak signals in electronic communication networks, which can effectively capture weak signals in low signal-to-noise ratio environments and significantly improve the success rate of signal detection. At the same time, due to the overall use of multi-stage filtering and noise suppression technology, it can effectively remove interference in complex electromagnetic environments and ensure the purity of the signal. It has real-time processing capabilities during operation and can dynamically adjust filter parameters to adapt to changes in the signal environment to ensure the continuity and stability of the capture process. Compared with traditional methods, the present invention does not require a significant increase in hardware costs or signal transmission power, and has lower power consumption and cost advantages. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] Figure 1 This is a schematic diagram of the system of the present invention;

[0022] Figure 2 This is a structural diagram of a signal receiving module of the present invention;

[0023] Figure 3 This is a schematic diagram of the structure of the preprocessing module of the present invention;

[0024] Figure 4 This is a structural diagram of the signal enhancement module of the present invention;

[0025] Figure 5 This is a structural diagram of the signal detection module of the present invention;

[0026] Figure 6 This is a structural diagram of the signal output module of the present invention. DETAILED DESCRIPTION

[0027] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0028] Secondly, the term "one embodiment" or "embodiment" herein refers to a specific feature, structure, or characteristic that may be included in at least one implementation of the present invention. The phrase "in one embodiment" appearing in various places throughout this specification does not necessarily refer to the same embodiment, nor does it refer to a separate or selective embodiment that is mutually exclusive of other embodiments.

[0029] Example 1:

[0030] See also Figures 1-6 As shown, the present invention provides an electronic communication network weak signal capture system, including a signal receiving module, the output end of the signal receiving module is electrically connected to a preprocessing module, the output end of the preprocessing module is electrically connected to a signal enhancement module, the output end of the signal enhancement module is electrically connected to a signal detection module, and the output end of the signal detection module is electrically connected to a signal output module.

[0031] In this technical solution, by adopting adaptive filtering and signal reconstruction technology in the process of capturing weak signals in electronic communication networks, weak signals can be effectively captured in low signal-to-noise ratio environments, significantly improving the success rate of signal detection. At the same time, due to the overall use of multi-stage filtering and noise suppression technology, interference can be effectively removed in complex electromagnetic environments to ensure the purity of the signal. It has real-time processing capabilities during operation and can dynamically adjust filter parameters to adapt to changes in the signal environment to ensure the continuity and stability of the capture process. Compared with traditional methods, the present invention does not require a significant increase in hardware costs or signal transmission power, and has lower power consumption and cost advantages.

[0032] Example 2:

[0033] Based on the first embodiment, the present invention is as follows Figure 2 As shown, a signal receiving module is disclosed, which includes an antenna, a low-noise amplifier, a radio frequency front-end circuit and an analog-to-digital converter. The output end of the antenna is electrically connected to the input end of the low-noise amplifier, the output end of the low-noise amplifier is electrically connected to the input end of the radio frequency front-end circuit, the output end of the radio frequency front-end circuit is electrically connected to the input end of the analog-to-digital converter, and the radio frequency front-end circuit is composed of a mixer and a local oscillator.

[0034] Example 3:

[0035] Based on the first embodiment, the present invention is as follows Figure 3 As shown, the disclosed preprocessing module includes a bandpass filter, a low-pass filter, a digital filter and a noise suppression circuit, the output end of the bandpass filter is electrically connected to the input end of the low-pass filter, the output end of the low-pass filter is electrically connected to the input end of the digital filter, and the output end of the digital filter is electrically connected to the input end of the noise suppression circuit.

[0036] Example 4:

[0037] Based on the first embodiment, the present invention is as follows Figure 4 As shown, the disclosed signal enhancement module includes an adaptive filter, a signal reconstruction unit, a digital signal processor and a spectrum analysis unit, the output end of the adaptive filter is electrically connected to the input end of the signal reconstruction unit, the output end of the signal reconstruction unit is electrically connected to the input end of the digital signal processor, and the output end of the digital signal processor is electrically connected to the input end of the spectrum analysis unit.

[0038] Embodiment 5:

[0039] Based on the first embodiment, the present invention is as follows Figure 5 As shown, the disclosed signal detection module includes a matched filter, a correlation detector, a threshold decision device and a feature extraction unit, the output end of the matched filter is electrically connected to the input end of the correlation detector, the output end of the correlation detector is electrically connected to the input end of the threshold decision device, and the output end of the threshold decision device is electrically connected to the input end of the feature extraction unit.

[0040] Example 6:

[0041] Based on the first embodiment, the present invention is as follows Figure 6 As shown, the disclosed signal output module includes a digital-to-analog converter, a data interface, a display unit and a storage unit. The output end of the digital-to-analog converter is electrically connected to the input ends of the data interface, the display unit and the storage unit respectively. The data interface is a USB interface, the display unit consists of an LCD screen and an oscilloscope, and the storage unit consists of a solid-state hard drive and an SD memory card.

[0042] Embodiment seven:

[0043] A method for capturing weak signals in an electronic communication network, comprising the following steps:

[0044] A. Signal Reception: The antenna in the signal receiving module receives the original signal from the electronic communication network. The low-noise amplifier performs preliminary amplification on the received weak signal, minimizing the introduced noise. The RF front-end circuit down-converts the high-frequency signal to an intermediate frequency or baseband signal, and the analog-to-digital converter converts the analog signal into a digital signal for subsequent processing.

[0045] B. Preprocessing: The preprocessing module uses a bandpass filter, low-pass filter, digital filter, and noise suppression circuit to perform preliminary filtering and noise reduction on the received signal, removing some high-frequency noise and interference signals while retaining possible weak signal components.

[0046] C. Signal Enhancement: The adaptive filter in the signal enhancement module uses an adaptive filtering algorithm to process the signal in real time, dynamically adjusting the filtering parameters to maximize weak signal enhancement and suppress noise. Meanwhile, the signal reconstruction unit uses a signal processing algorithm to restore and enhance the signal, further improving signal quality.

[0047] D. Signal Detection: The matched filter in the signal detection module maximizes the signal-to-noise ratio (SNR) and extracts the target signal. A correlation detector calculates the correlation between the received signal and the reference signal to detect the presence of the target signal. A threshold decision unit determines whether the signal is a valid target signal based on a preset threshold, preventing false detections. The feature extraction unit extracts the signal's time, frequency, and modulation features for further analysis and identification.

[0048] E. Signal output: The captured target signal can be converted through the digital-to-analog converter in the signal output module, and stored and transmitted through the storage unit and data interface. At the same time, the real-time captured signal waveform and spectrum can be displayed through the display unit, thereby completing the capture of weak signals in the electronic communication network.

[0049] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit the scope of protection of the present invention. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the essence and scope of the technical solutions of the present invention.

Claims

1. A weak signal capture system for an electronic communication network, comprising a signal receiving module, characterized in that: The output end of the signal receiving module is electrically connected to the preprocessing module, the output end of the preprocessing module is electrically connected to the signal enhancement module, the output end of the signal enhancement module is electrically connected to the signal detection module, and the output end of the signal detection module is electrically connected to the signal output module.

2. The electronic communication network weak signal capture system according to claim 1, characterized in that: The signal receiving module includes an antenna, a low-noise amplifier, a radio frequency front-end circuit and an analog-to-digital converter. The output end of the antenna is electrically connected to the input end of the low-noise amplifier, the output end of the low-noise amplifier is electrically connected to the input end of the radio frequency front-end circuit, and the output end of the radio frequency front-end circuit is electrically connected to the input end of the analog-to-digital converter.

3. The electronic communication network weak signal capture system according to claim 2, characterized in that: The radio frequency front-end circuit consists of a mixer and a local oscillator.

4. The electronic communication network weak signal capture system according to claim 1, characterized in that: The preprocessing module includes a bandpass filter, a low-pass filter, a digital filter and a noise suppression circuit. The output end of the bandpass filter is electrically connected to the input end of the low-pass filter, the output end of the low-pass filter is electrically connected to the input end of the digital filter, and the output end of the digital filter is electrically connected to the input end of the noise suppression circuit.

5. The electronic communication network weak signal capture system according to claim 1, characterized in that: The signal enhancement module includes an adaptive filter, a signal reconstruction unit, a digital signal processor and a spectrum analysis unit. The output end of the adaptive filter is electrically connected to the input end of the signal reconstruction unit, the output end of the signal reconstruction unit is electrically connected to the input end of the digital signal processor, and the output end of the digital signal processor is electrically connected to the input end of the spectrum analysis unit.

6. The electronic communication network weak signal capture system according to claim 1, characterized in that: The signal detection module includes a matched filter, a correlation detector, a threshold decision device and a feature extraction unit. The output end of the matched filter is electrically connected to the input end of the correlation detector, the output end of the correlation detector is electrically connected to the input end of the threshold decision device, and the output end of the threshold decision device is electrically connected to the input end of the feature extraction unit.

7. The electronic communication network weak signal capture system according to claim 1, characterized in that: The signal output module includes a digital-to-analog converter, a data interface, a display unit, and a storage unit. The output end of the digital-to-analog converter is electrically connected to the input ends of the data interface, the display unit, and the storage unit, respectively.

8. The electronic communication network weak signal capture system according to claim 7, characterized in that: The data interface is a USB interface, and the display unit consists of an LCD screen and an oscilloscope.

9. The electronic communication network weak signal capture system according to claim 7, characterized in that: The storage unit consists of a solid state drive and an SD memory card.

10. The method of the electronic communication network weak signal acquisition system according to any one of claims 1 to 9, characterized in that: The method comprises the following steps: A. Signal Reception: The antenna in the signal receiving module receives the original signal from the electronic communication network. The low-noise amplifier performs preliminary amplification on the received weak signal, minimizing the introduced noise. The RF front-end circuit down-converts the high-frequency signal to an intermediate frequency or baseband signal, and the analog-to-digital converter converts the analog signal into a digital signal for subsequent processing. B. Preprocessing: The preprocessing module uses a bandpass filter, low-pass filter, digital filter, and noise suppression circuit to perform preliminary filtering and noise reduction on the received signal, removing some high-frequency noise and interference signals while retaining possible weak signal components. C. Signal Enhancement: The adaptive filter in the signal enhancement module uses an adaptive filtering algorithm to process the signal in real time, dynamically adjusting the filtering parameters to maximize weak signal enhancement and suppress noise. Meanwhile, the signal reconstruction unit uses a signal processing algorithm to restore and enhance the signal, further improving signal quality. D. Signal Detection: The matched filter in the signal detection module maximizes the signal-to-noise ratio (SNR) and extracts the target signal. A correlation detector calculates the correlation between the received signal and the reference signal to detect the presence of the target signal. A threshold decision unit determines whether the signal is a valid target signal based on a preset threshold, preventing false detections. The feature extraction unit extracts the signal's time, frequency, and modulation features for further analysis and identification. E. Signal output: The captured target signal can be converted through the digital-to-analog converter in the signal output module, and stored and transmitted through the storage unit and data interface. At the same time, the real-time captured signal waveform and spectrum can be displayed through the display unit, thereby completing the capture of weak signals in the electronic communication network.