Method for detecting a visual and infrared light based eavesdropper and computer device

Abstract

This invention provides a method and computer device for detecting eavesdropping devices based on visible and infrared light, belonging to the field of eavesdropping detection technology. Specifically, it includes: a signal processing module responsible for capturing optical signals in the visible and infrared bands respectively using a high-sensitivity photodetector and a narrow-band optical filter; converting the optical signals into analog electrical signals; amplifying the analog electrical signals using a high-gain amplifier; filtering out high-frequency noise using a low-pass filter; a signal amplification processing module responsible for dynamically adjusting the amplification factor based on a strategy for using potential usable multiple ranges and updating the amplification adaptation multiple range, combined with an adaptive gain control strategy; a parameter extraction module responsible for waveform reconstruction and signal parameter extraction of the digital signal; and an alarm processing module responsible for determining whether to trigger an alarm based on the detection results, thus improving the accuracy of eavesdropping detection processing.

Description

TECHNICAL FIELD

[0001] The application belongs to the technical field of eavesdropping detection, and particularly relates to a detection method of an eavesdropper based on visible light and infrared light and a computer device. BACKGROUND

[0002] A laser eavesdropper (also known as an optical eavesdropper) is a technical device for realizing long-distance voice eavesdropping by using optical principles. The basic principle is that a laser beam (visible light or infrared light) is shot at a glass window or other object with a small vibration reflecting surface in a target room. When there is a voice sound in the room, the sound wave will cause a small vibration of the glass window (the vibration amplitude is usually in the micron to nanometer level). The laser beam carries voice modulation information after being reflected by the vibrating surface. The eavesdropper can demodulate and restore the voice content in the room by receiving and analyzing the phase / intensity changes of the reflected laser beam. Laser eavesdropping has the characteristics of long action distance (up to hundreds to thousands of meters), strong concealment (the eavesdropping device can be deployed far away from the target), and difficulty in being detected, which poses a serious threat to the security of voice information in confidential places.

[0003] To solve the above problems, the prior art provides a laser beam scanning detection scheme based on an infrared / visible light detector: an optoelectronic detector (such as a PIN photodiode or an avalanche photodiode) is used in combination with a narrow-band optical filter to scan in a suspicious area, and an alarm is issued when an abnormal laser spot is detected. However, the following technical problems exist: During eavesdropping detection processing, the amplification multiple of the detection signal can affect the reliability of the identification processing of the eavesdropping result under different modulation modes. Therefore, how to determine the potential available multiple interval and the use strategy of the potential available multiple interval according to the identification result of the alarm signal under different modulation modes, and then update the amplification adaptation multiple interval according to the identification result in the use process, so as to improve the reliability of the eavesdropping identification processing, becomes a technical problem to be solved.

[0004] Specifically, the present application provides a detection method of an eavesdropper based on visible light and infrared light and a computer device. SUMMARY

[0005] To achieve the object of the present application, the present application adopts the following technical solutions: Specifically, the present application provides a computer device, which specifically comprises: The signal processing module is responsible for capturing optical signals in the visible light band and infrared light band respectively through a high-sensitivity photodetector and a narrow-band optical filter, converting the optical signals into analog electrical signals, amplifying the analog electrical signals through a high-gain amplifier, filtering out high-frequency noise through a low-pass filter, determining the potential usable multiple range under the amplification multiple range by adjusting the processing strategy, and determining the usage strategy of the potential usable multiple range by combining the matching degree between the potential usable multiple and the alarm signals under different modulation methods. The signal amplification processing module is responsible for using the updated identification results of alarm signals under different modulation methods and the usage strategy to determine the update processing method of the amplification adaptation multiple range in the potential available multiple range. Through the usage strategy of the potential available multiple range and the update results of the amplification adaptation multiple range, and combined with the adaptive gain control strategy, the amplification multiple is dynamically adjusted. The parameter extraction module is responsible for using a high-speed analog-to-digital converter to convert the amplified and filtered analog signal into a digital signal, and then performing waveform restoration and signal parameter extraction on the digital signal. The alarm processing module is responsible for extracting the feature vector of the digital signal, inputting the feature vector into a trained SVM classifier, identifying the modulation mode of the optical signal and the detection conclusion, and using the detection conclusion to determine whether an alarm is triggered.

[0006] Understandably, the amplification factor is dynamically adjusted by using a strategy that leverages the potential available magnification range and updating the magnification range, combined with an adaptive gain control strategy. Specifically, this includes: Based on the usage of the potential available amplification range corresponding to the strategy and the amplification adaptation factor range, the amplification factor range is determined; By utilizing the amplification factor range and the adaptive adjustment strategy of the amplification factor, the amplification factor is adjusted to obtain analog signals at multiple amplification factors.

[0007] It is understood that the adaptive adjustment strategy involves switching between different amplification factor ranges according to a preset period during different amplification processes.

[0008] Secondly, this application provides a method for detecting eavesdropping devices based on visible light and infrared light, applied to the aforementioned computer device, specifically including: S1 determines the analysis results of the alarm signal under different modulation methods based on the analysis results of the alarm signal under different modulation methods. When it is determined that the amplification factor needs to be optimized and adjusted based on the analysis results of the alarm signal under different modulation methods, it proceeds to the next step. S2 uses alarm signals under different modulation methods to determine the identification deviation risk type under the modulation method, and uses the correlation degree of the identification results of alarm signals under different modulation methods in different amplification ranges to determine the adjustment processing strategy of the amplification factor. S3 uses the adjustment processing strategy to determine the potential usable multiple range under the amplification multiple range, and combines the matching degree between the potential usable multiple and the alarm signal under different modulation methods to determine the usage strategy of the potential usable multiple range; S4 uses the usage strategy and the potential available multiple to perform dynamic adjustment of the amplification multiple, and uses the updated identification results of the alarm signals under different modulation methods and the usage strategy to determine the update processing method of the amplification adaptation multiple range in the potential available multiple range.

[0009] Furthermore, the analysis result of the alarm signal under the modulation method is determined based on the number of alarms under the modulation method.

[0010] Furthermore, it was determined that optimization and adjustment of the magnification factor were needed, specifically including: S11 determines the number of alarms under the modulation mode based on the analysis results of the alarm signals under different modulation modes; S12 Based on the number of alarms under the modulation method, determine the modulation method with suspected identification deviation and use it as the suspected deviation modulation method; S13 uses the suspected deviation modulation data to determine whether the amplification factor needs to be optimized.

[0011] The beneficial effects of this invention are as follows: Based on the potential available multiple range and the degree of matching between the potential available multiple range and alarm signals under different modulation methods, the difficulty of identifying and analyzing the potential available multiple range and the reliability of eavesdropping detection and analysis under different modulation methods are determined. Based on the difficulty of identifying and analyzing the potential available multiple range and the reliability of eavesdropping detection and analysis under different modulation methods, the usage strategy of the potential available multiple range is determined, thereby ensuring both the difficulty of identification and analysis and the reliability of alarm processing under different modulation methods.

[0012] By utilizing the updated identification results of alarm signals under different modulation schemes, the modulation scheme of the alarm signal within the potential available multiple range is determined. Based on the number of modulation schemes of the alarm signal within different potential available multiple ranges, the compatibility between different potential available multiple ranges and different modulation schemes is determined. Based on the compatibility between different potential available multiple ranges and different modulation schemes, and the usage strategy, the update processing method of the amplification adaptation multiple range within the potential available multiple range is determined. Thus, by timely updating the amplification adaptation multiple range, the probability of poor identification reliability of eavesdropping signals under some modulation schemes is reduced when using amplification processing of some potential available multiple ranges.

[0013] Other features and advantages will be set forth in the description which follows, and will be apparent in part from the description, or may be learned by practicing the invention. The objects and other advantages of the invention are realized and obtained through the structures particularly pointed out in the description and the drawings.

[0014] To make the above-mentioned objects, features and advantages of the present invention more apparent and understandable, preferred embodiments are described below in detail with reference to the accompanying drawings. Attached Figure Description

[0015] The above and other features and advantages of the present invention will become more apparent from a detailed description of exemplary embodiments thereof with reference to the accompanying drawings.

[0016] Figure 1 It is a schematic diagram of a computer device; Figure 2 This is a flowchart of a method for detecting eavesdropping devices based on visible and infrared light; Figure 3 This is a flowchart illustrating the method for determining the required magnification factor through optimization and adjustment. Detailed Implementation

[0017] Exemplary embodiments will now be described more fully with reference to the accompanying drawings. However, these exemplary embodiments can be implemented in many forms and should not be construed as limited to the embodiments set forth herein; rather, they are provided so that the invention will be thorough and complete, and the concept of the exemplary embodiments will be fully conveyed to those skilled in the art. The same reference numerals in the drawings denote the same or similar structures, and therefore their detailed description will be omitted.

[0018] The terms “a,” “one,” “the,” and “the” are used to indicate the existence of one or more elements / components / etc.; the terms “including” and “having” are used to indicate an open-ended meaning of inclusion and that there may be other elements / components / etc. in addition to the listed elements / components / etc.

[0019] Example 1 To solve the above problems, according to one aspect of the present invention, such as Figure 1 As shown, a computer device is provided, specifically including: The signal processing module is responsible for capturing optical signals in the visible light band and infrared light band respectively through a high-sensitivity photodetector and a narrow-band optical filter, converting the optical signals into analog electrical signals, amplifying the analog electrical signals through a high-gain amplifier, filtering out high-frequency noise through a low-pass filter, determining the potential usable multiple range under the amplification multiple range by adjusting the processing strategy, and determining the usage strategy of the potential usable multiple range by combining the matching degree between the potential usable multiple and the alarm signals under different modulation methods. Specifically, the signal processing module includes a photoelectric detection unit, a high-gain amplification unit, a low-pass filtering unit, and a multiplier interval determination unit. The photoelectric detection unit uses a high-sensitivity photoelectric detector and a narrowband optical filter to capture optical signals in the visible and infrared bands respectively and converts the optical signals into analog electrical signals. The high-gain amplification unit performs multi-stage amplification on the analog electrical signals. The low-pass filtering unit filters out high-frequency noise and retains the effective signal frequency band. The multiplier interval determination unit, according to the adjustment processing strategy determined in S2, considers amplification intervals where the sum of matching weight coefficients is above a preset matching coefficient threshold, as well as amplification intervals with associated modulation methods, as potential usable multiplier intervals (when the number of overlapping intervals is not greater than a preset overlapping interval number threshold and the overlapping matching coefficient is not greater than a preset overlapping matching coefficient threshold), or amplification intervals where the sum of matching weight coefficients is above a preset matching coefficient threshold as potential usable multiplier intervals (when the number of overlapping intervals is not greater than a preset overlapping interval number threshold and the overlapping matching coefficient is greater than a preset overlapping matching coefficient threshold). The multiple range determination unit also performs amplification processing a preset number of times within a number of potential available multiple ranges according to the usage strategy of the potential available multiple ranges determined by S3 in the same amplification process. During each amplification process, it randomly selects different amplification factors within the potential available multiple ranges and outputs the analog signals at the multiple amplification factors to the signal amplification processing module.

[0020] The signal amplification and processing module is responsible for using the updated identification results of alarm signals under different modulation methods and the usage strategy to determine the update processing method of the amplification adaptation multiple range in the potential available multiple range. Through the usage strategy of the potential available multiple range and the update results of the amplification adaptation multiple range, and in combination with the adaptive gain control strategy, the amplification multiple is dynamically adjusted.

[0021] Specifically, the signal amplification processing module includes an update identification unit, an adaptation interval update unit, and an adaptive gain control unit. The update identification unit determines the modulation scheme of the alarm signal within a potential usable multiple range based on the update identification results of alarm signals under different modulation schemes, and uses this as the update identification modulation scheme. The adaptation interval update unit, based on the judgment result of S43, filters out usable multiple ranges when the number of associated methods exceeds a preset threshold. It determines strict update conditions (the number of alarms under modulation schemes above a set ratio threshold is greater than a preset alarm count) or lenient update conditions (alarm data exists under modulation schemes above a set ratio threshold, and the number of alarms under multiple modulation schemes is greater than a preset alarm count) by comparing the basic adaptation weight value with the adaptation weight threshold. The potential usable multiple range that meets these conditions is used as the amplification adaptation multiple range. The adaptive gain control unit determines the amplification processing multiple range based on the usage method of the potential usable amplification range corresponding to the usage strategy and the amplification adaptation multiple range. It switches between different amplification processing multiple ranges according to a preset cycle to achieve dynamic adjustment of the amplification multiple.

[0022] The parameter extraction module is responsible for converting the amplified and filtered analog signal into a digital signal using a high-speed analog-to-digital converter, and then performing waveform restoration and signal parameter extraction on the digital signal.

[0023] Specifically, the parameter extraction module includes an analog-to-digital conversion unit, a waveform restoration unit, and a parameter extraction unit. The analog-to-digital conversion unit converts the analog signal into a digital signal with a sampling rate no less than twice the highest frequency of the signal. The waveform restoration unit restores the waveform of the converted digital signal using digital filtering and interpolation algorithms, recovering the time-domain waveform characteristics of the original signal. The parameter extraction unit extracts signal parameters from the restored waveform, including the signal amplitude, frequency, phase, pulse width, and rise time, and constructs a feature vector from the extracted signal parameters.

[0024] The alarm processing module is responsible for extracting the feature vector of the digital signal, inputting the feature vector into a trained SVM classifier, identifying the modulation mode of the optical signal and the detection conclusion, and using the detection conclusion to determine whether an alarm is triggered.

[0025] Specifically, the alarm processing module includes a feature extraction unit, an SVM classification unit, and an alarm decision unit. The feature extraction unit constructs a multi-dimensional feature vector from the signal parameters output by the parameter extraction module. The SVM classification unit uses feature vectors of alarm signals with known historical modulation schemes as training samples, employs a radial basis function as the kernel function, and trains an SVM classifier using a one-to-one multi-classification strategy. During runtime, the real-time acquired feature vectors are input into the SVM classifier to identify the modulation scheme of the current optical signal (including ASK, FSK, PSK, QAM, etc.) and whether it is an alarm signal emitted by a listening device. The alarm decision unit triggers an alarm when the detection conclusion with the highest consistency among the detection conclusions obtained from simulated signals at different amplification levels is abnormal.

[0026] The computer device in this embodiment achieves a complete technical closed loop through the collaborative work of its various modules, from optical signal capture to amplification factor optimization and adjustment, screening of potential available amplification factor ranges, determination of usage strategies, updating of amplification adaptation factor ranges, and alarm triggering. The signal processing module utilizes multi-layered judgment of adjustment processing strategies and potential available amplification factor ranges to achieve adaptive configuration of the amplification factor. The signal amplification processing module utilizes dynamic updates of the adaptation factor range to achieve adaptive optimization of the amplification processing method. The parameter extraction module converts analog signals into digital features that can be used for classification and recognition through waveform restoration and feature extraction. The alarm processing module achieves reliable identification of alarm signals through an SVM classifier and consistency judgment of conclusions under multiple amplification factors. The working principles and specific implementation methods of each module correspond one-to-one with the steps described in Embodiment 1.

[0027] Understandably, the amplification factor is dynamically adjusted by using a strategy that leverages the potential available magnification range and updating the magnification range, combined with an adaptive gain control strategy. Specifically, this includes: Based on the usage of the potential available amplification range corresponding to the strategy and the amplification adaptation factor range, the amplification factor range is determined; By utilizing the amplification factor range and the adaptive adjustment strategy of the amplification factor, the amplification factor is adjusted to obtain analog signals at multiple amplification factors.

[0028] It is understood that the adaptive adjustment strategy involves switching between different amplification factor ranges according to a preset period during different amplification processes.

[0029] Specifically, the detection results are used to determine whether an alarm has been triggered, including: Based on the detection conclusions obtained from the analog signals at different amplification levels, an alarm is triggered when the detection conclusion with the highest degree of consistency is found to be abnormal.

[0030] Example 2 Secondly, such as Figure 2 As shown, this application provides a method for detecting eavesdropping devices based on visible light and infrared light, applied to the aforementioned computer device, specifically including: S1 determines the analysis results of the alarm signal under different modulation methods based on the analysis results of the alarm signal under different modulation methods. When it is determined that the amplification factor needs to be optimized and adjusted based on the analysis results of the alarm signal under different modulation methods, it proceeds to the next step. The core objective of this embodiment is to identify modulation schemes with identification bias risks and determine whether amplification factor optimization is needed by analyzing alarm signal parsing results under different modulation schemes. Then, it determines the adjustment processing strategy by using matching weight coefficients and associated modulation schemes for different modulation schemes in each amplification factor range. Next, it determines the proportion and frequency of amplification processing in the applied strategy by using the number of potentially available amplification factor ranges and comprehensive matching weight coefficients. Finally, it determines the update processing method for the amplification adaptation factor range by updating the number of identified modulation schemes and associated methods. Its core logic uses alarm data parsing results as input. First, it assesses the identification bias risk based on the number of alarms to determine the optimization adjustment needs. Then, it determines the adjustment processing strategy and potential available amplification factor ranges by using matching weight coefficients and associated modulation schemes. Next, it determines the amplification processing proportion in the applied strategy by using comprehensive matching weight coefficients and adaptation values. Finally, it determines the update processing method for the amplification adaptation factor range by using the number of associated methods and basic adaptation weight values. The overall logic follows the process of "determining optimization adjustment needs → determining adjustment processing strategy → determining application strategy → determining amplification adaptation factor range update processing method".

[0031] Furthermore, the analysis result of the alarm signal under the modulation method is determined based on the number of alarms under the modulation method.

[0032] Specifically, such as Figure 3 As shown, the required magnification adjustment is determined, specifically including: In this embodiment, based on the analysis results of alarm signals under different modulation methods, the potential risks of identification deviation under different modulation methods are determined. Based on the potential risks of identification deviation under different modulation methods, it is determined whether the amplification factor needs to be optimized and adjusted, thereby laying the foundation for further determining the identification reliability under different modulation methods at different amplification factors.

[0033] The potential risk of identification deviation refers to the risk that a certain modulation method may have identification deviation due to a low number of alarms; the optimization and adjustment process refers to the process of re-screening and adjusting the amplification range to improve the identification reliability under different modulation methods.

[0034] If a certain modulation method has a low number of alarms, it indicates that the reliability of eavesdropping signal identification under that modulation method is insufficient and there is a potential risk of identification deviation. In this case, the amplification factor needs to be optimized and adjusted to improve the identification coverage. The potential risk of identification deviation is assessed by the number of alarms and the optimization adjustment needs are determined accordingly. When there are many suspected deviation modulation methods, the amplification factor optimization is triggered in time, thereby laying the foundation for improving the identification reliability under different modulation methods.

[0035] S11, based on the analysis results of the alarm signals under different modulation methods, determine the number of alarms under the modulation method; The alarm count refers to the cumulative number of times an alarm has been triggered by a certain modulation method in its historical operation, reflecting the recognition activity level under that modulation method.

[0036] If a certain modulation method triggers an alarm multiple times during historical operation, a high number of alarms indicates that the identification under that modulation method is more active. Conversely, a low number of alarms may indicate identification bias. By counting the number of alarms, the identification activity of each modulation method can be quantified into a comparable count, providing basic data for the subsequent screening of suspected biased modulation methods.

[0037] S12 Based on the number of alarms under the modulation method, determine the modulation method with suspected identification deviation and use it as the suspected deviation modulation method; Specifically, the suspected deviation modulation method is a modulation method where the number of alarms is less than a preset alarm threshold. The preset alarm threshold is a critical value used to determine whether the number of alarms for a certain modulation method is sufficient. When the number of alarms is lower than this threshold, it indicates that the recognition coverage of the modulation method is insufficient, and there is a potential risk of recognition deviation.

[0038] If the number of alarms for a certain modulation method is lower than the preset alarm count threshold, it is identified as a suspected deviation modulation method. Its identification reliability needs to be closely monitored. By filtering suspected deviation modulation methods through the alarm count threshold, modulation methods with insufficient identification coverage can be identified, providing a basis for determining subsequent optimization and adjustment needs.

[0039] S13, using the suspected deviation modulation data, determine whether the amplification factor needs to be optimized and adjusted.

[0040] It is understandable that the suspected deviation modulation data is used to determine whether amplification factor optimization is needed, specifically including: When the number of suspected deviation modulation methods is insufficient, and there are too many suspected deviation modulation methods, it is determined that the amplification factor needs to be optimized and adjusted.

[0041] The term "not meeting the requirements" refers to the number of suspected deviation modulation methods exceeding a preset threshold, meaning there are too many suspected deviation modulation methods. When the term "meets the requirements," meaning the number does not exceed the preset threshold, it indicates that there are few suspected deviation modulation methods, the overall risk of deviation is controllable, and no optimization or adjustment of the amplification factor is required.

[0042] If the number of suspected deviation modulation methods exceeds the preset threshold, it indicates that there are many modulation methods with identification deviation risks. In this case, it is determined that the amplification factor needs to be optimized and adjusted. If the number does not exceed the threshold, no optimization and adjustment is required.

[0043] The number of suspected deviation modulation methods is used to determine the optimization and adjustment needs. When the identified deviation risk is relatively serious, the amplification factor optimization is triggered in a timely manner. When the risk is controllable, unnecessary adjustment is avoided, thereby achieving a precise match between the optimization and adjustment needs and the deviation risk level.

[0044] This embodiment realizes a complete process from alarm count to suspected deviation modulation mode screening and then to determination of optimization and adjustment needs. Suspected deviation modulation modes are screened by alarm count threshold, and modulation modes with insufficient coverage are identified. The number of suspected deviation modulation modes is used to determine the optimization and adjustment needs. The system dynamically adjusts whether to trigger optimization processing when the deviation risk is different, thereby achieving a precise match between optimization and adjustment needs and deviation risk level.

[0045] A computer device is used to detect eavesdropping devices and supports five modulation schemes, M1 to M5. The number of alarms for each modulation scheme during historical operation is as follows: M1 25 times, M2 8 times, M3 30 times, M4 3 times, and M5 12 times.

[0046] Step S11: The number of alarms for each modulation method is as described above.

[0047] Step S12: The suspected deviation modulation method is the modulation method where the number of alarms is less than 10 times of the preset alarm number threshold: M2 (8 times) and M4 (3 times), for a total of 2 suspected deviation modulation methods.

[0048] Step S13: Determine whether the number of suspected deviation modulation methods 2 does not meet the requirements (i.e., exceeds the preset threshold of the number of deviation modulation methods 1): 2 exceeds 1, does not meet the requirements (the number of suspected deviation modulation methods is too large), and needs to be optimized and adjusted in terms of amplification factor.

[0049] Furthermore, the identification deviation risk type under the modulation method is determined based on the number of alarms under the modulation method. Specifically, it is determined based on the preset deviation risk type corresponding to the alarm number interval in which the alarm number under the modulation method falls. The fewer the alarms, the more severe the identification deviation risk type.

[0050] Specifically, the identified deviation risk types include Type I deviation risk, Type II deviation risk, and Type III deviation risk, wherein the severity of Type I deviation risk is greater than that of Type II deviation risk, and the severity of Type II deviation risk is greater than that of Type III deviation risk.

[0051] The identification of deviation risk types is classified according to the interval of alarm count: the interval with the fewest alarm counts corresponds to the first type of deviation risk (most severe), the interval with the second fewest alarm counts corresponds to the second type of deviation risk, and the interval with the most alarm counts corresponds to the third type of deviation risk (mildest).

[0052] If the number of alarms for a certain modulation method is in the lowest range, then its identification deviation risk type is a type 1 deviation risk, indicating that the identification deviation risk under this modulation method is the most serious. By classifying and identifying the deviation risk type by alarm count range, the deviation risk of the modulation method is quantified into a graded type, providing a graded basis for determining the subsequent adjustment and processing strategy.

[0053] S2 uses alarm signals under different modulation methods to determine the identification deviation risk type under the modulation method, and uses the correlation degree of the identification results of alarm signals under different modulation methods in different amplification ranges to determine the adjustment processing strategy of the amplification factor. Specifically, the method for determining the magnification adjustment strategy is as follows: In this embodiment, based on the identification results of alarm signals under different modulation methods in different amplification factor ranges, the matching amplification factor ranges of different modulation methods are determined. Combined with the correlation degree of the matching amplification factor ranges of different modulation methods, the amplification factor adjustment processing strategy is determined. This realizes the determination of potential available amplification factor ranges for amplification factor adaptation processing from the perspective of the matching degree between the current different amplification factor ranges and different modulation methods. While reducing the difficulty of identification processing, it also ensures the reliability of alarm signal identification under each modulation method in different amplification factor ranges.

[0054] The matching amplification factor range refers to the amplification factor range in which a certain modulation method has a high proportion of alarms and good recognition performance; the correlation degree refers to the degree of overlap between the matching amplification factor ranges of different modulation methods; the adjustment processing strategy refers to the decision rules for determining which amplification factor ranges are potential usable amplification factor ranges.

[0055] If the matching amplification factor ranges of multiple modulation methods overlap, then the overlapping range has a good recognition effect on multiple modulation methods and can be used as a potential usable amplification factor range. By matching the amplification factor range and the degree of correlation, the adjustment processing strategy is determined, and the amplification factor screening is focused on the range that is suitable for multiple modulation methods, thereby reducing the processing difficulty while ensuring the reliability of recognition.

[0056] S21 uses the identification results of alarm signals under different amplification ranges of the modulation method to determine the proportion of alarm times under different amplification ranges of the modulation method, uses the proportion of alarm times as the matching weight coefficient of the modulation method, and uses the matching weight coefficient to determine the matching amplification range of the modulation method. The matching weight coefficient is calculated as: (Number of alarms for a certain modulation scheme within a certain amplification range) / (Total number of alarms for that modulation scheme across all amplification ranges). The matching amplification range is the amplification range where the matching weight coefficient is greater than a preset matching weight coefficient threshold.

[0057] Suppose that the number of alarms for a certain modulation method in the amplification factor interval A1 accounts for 40% of the total number of alarms for that modulation method, and exceeds the preset matching weight coefficient threshold, then A1 is the matching amplification factor interval for that modulation method. The matching weight coefficient is calculated based on the proportion of alarms, and the matching amplification factor intervals are selected accordingly. The amplification factor intervals with better identification effect for each modulation method are identified, providing basic data for subsequent correlation analysis and selection of potential usable amplification factor intervals.

[0058] S22, Based on the correlation degree of the matching amplification factor intervals of different modulation methods, determine the modulation method that the amplification factor interval belongs to the matching amplification factor interval, and use it as the associated modulation method of the amplification factor interval; The associated modulation method refers to the modulation method that matches a certain amplification range with its own amplification range. That is, the modulation method has a better recognition effect in this range. Assuming that the amplification range A1 is the matching amplification range of M1 and M2, then M1 and M2 are the associated modulation methods of A1.

[0059] By matching the correlation between amplification ranges, the associated modulation scheme is determined, and an adaptation relationship network between amplification ranges and modulation schemes is constructed, providing structured data for the subsequent screening of potential available amplification ranges.

[0060] It is understandable that, based on the associated modulation methods in different amplification factor ranges, the number of associated modulation methods in different amplification factor ranges is determined, and it is determined whether there is an amplification factor range in which the number of associated modulation methods is greater than a preset threshold for the number of modulation methods. If so, proceed to step S23; otherwise, the amplification factor range in which the sum of the matching weight coefficients with different modulation methods is greater than a preset matching coefficient threshold, as well as the amplification factor range in which there are associated modulation methods, are taken as potential usable amplification factor ranges.

[0061] The preset modulation scheme number threshold refers to a critical value used to determine whether the number of associated modulation schemes within a certain amplification range is excessive. When there is an interval where the number of associated modulation schemes exceeds the threshold, it indicates that the interval is compatible with multiple modulation schemes and requires further analysis.

[0062] If the number of associated modulation methods in a certain amplification range exceeds the preset threshold for the number of modulation methods, then proceed to S23 for further analysis. If none exist, then the intervals with matching weight coefficients and those that reach the threshold and have associated modulation methods are taken as potential usable amplification ranges.

[0063] The existence of a highly compatible interval is determined by the number of associated modulation methods. If an interval with multiple modulation methods is found, further refined analysis is performed. If no such interval is found, potential usable intervals are directly selected based on the matching weight coefficient and associated modulation method.

[0064] S23, determine the amplification adjustment strategy by using the associated modulation method in different amplification ranges and the matching weight coefficient of the associated modulation method in the amplification range.

[0065] It is understandable that the amplification adjustment strategy is determined by using the associated modulation schemes in different amplification ranges and the matching weight coefficients of the associated modulation schemes within the amplification ranges, specifically including: S231, the amplification interval where the number of associated modulation methods is greater than the preset threshold for the number of modulation methods is taken as the overlapping interval. It is determined whether the number of overlapping intervals is greater than the preset threshold for the number of overlapping intervals. If so, the amplification interval where the sum of the matching weight coefficients with different modulation methods is greater than the preset matching coefficient threshold and the amplification interval where there are multiple associated modulation methods are taken as the potential available amplification interval. If not, proceed to step S232. The overlapping interval refers to the amplification factor interval where the number of associated modulation methods exceeds a preset threshold for the number of modulation methods, i.e., the interval where multiple modulation methods are compatible. When there are many overlapping intervals, potential usable intervals are directly selected based on the matching weight coefficient and the number of associated modulation methods.

[0066] If the number of overlapping intervals exceeds the preset threshold, it indicates that there are many intervals that can be adapted to multiple modulation methods. In this case, the intervals that match the weight coefficient and reach the threshold, as well as the intervals with multiple associated modulation methods, are considered as potential usable multiple intervals. When there are many overlapping intervals, a direct screening strategy is adopted. When there are many multiple adaptation intervals, potential usable intervals are quickly screened by matching the weight coefficient and multiple associated modulation method conditions.

[0067] S232, using the number of associated modulation schemes in different amplification factor intervals and the matching weight coefficient of the associated modulation schemes in the amplification factor interval, determine the overlap matching coefficient, and determine whether the overlap matching coefficient is greater than a preset overlap matching coefficient threshold. If not, then the amplification factor intervals where the sum of the matching weight coefficients with different modulation schemes is greater than the preset matching coefficient threshold and the amplification factor intervals with associated modulation schemes are taken as potential usable amplification factor intervals. If so, then the amplification factor intervals where the sum of the matching weight coefficients with different modulation schemes is greater than the preset matching coefficient threshold and the amplification factor intervals with multiple associated modulation schemes are taken as potential usable amplification factor intervals.

[0068] The overlap matching coefficient is calculated as follows: the overlap matching coefficient is determined by the average sum of the matching weight coefficients of the associated modulation methods within each amplification range, i.e., by the average sum of the matching weight coefficients of the associated modulation methods within each amplification range. When the overlap matching coefficient is high, it indicates that the adaptability and matching weight of multiple modulation methods within the amplification range are both high, and more stringent screening conditions can be adopted (only the sum of the matching weight coefficients and the existence of multiple associated modulation methods are considered); when the overlap matching coefficient is low, the associated modulation method condition needs to be added.

[0069] By further refining the screening criteria through the overlap matching coefficient, stricter screening criteria are adopted when the number of overlapping intervals is small but the degree of fit is high. When the degree of fit is not high, additional conditions are added to expand the screening range, thereby achieving a precise match between the screening of potential usable multiple intervals and the degree of fit.

[0070] This embodiment realizes a complete process from calculating the matching weight coefficient to determining the associated modulation method and then determining the adjustment processing strategy. The matching weight coefficient is calculated by the proportion of alarm times to identify the intervals with better identification effect of each modulation method; the existence of a high-fit interval is determined by the number of associated modulation methods, and further refined analysis is performed when such intervals exist; through multi-level judgment of overlapping matching coefficients, the strictness of the screening conditions is dynamically adjusted when the degree of fit is different, thereby achieving accurate matching between the screening of potential usable multiple intervals and the degree of fit.

[0071] Continuing with the calculation results of S1, five modulation schemes, M1 to M5, are identified, among which M2 (8th order), M4 (3rd order), and M5 (5th order) are suspected deviation modulation schemes. The amplification factor is divided into four intervals, A1 to A4.

[0072] Step S21: Matching amplification range for each modulation scheme (matching weight coefficient > 0.30): M1: A1 (0.40), A2 (0.32); M2:A2 (0.50); M3: A1 (0.40), A2 (0.333); M4: A2 (0.333), A3 (0.667); M5: A2 (0.40); Step S22: Correlation modulation method for each amplification range: A1: M1, M3, number of associated modulation methods: 2; A2: M1, M2, M3, M4, M5, with 5 associated modulation schemes; A3: M4, number of associated modulation schemes: 1; A4: None, number of associated modulation methods: 0; Determine if there is an amplification range where the number of associated modulation methods is greater than the preset threshold of 2: If the number of associated modulation methods in A2 is 5>2, then it exists, proceed to S23.

[0073] Step S231: The overlapping intervals are A1 and A2 (the number of associated modulation methods is 5 > 1). The number of overlapping intervals is 2.

[0074] Determine whether the number of overlapping intervals 2 is greater than the preset threshold for the number of overlapping intervals 1: if 2 is greater than 1, the amplification intervals in which the sum of the matching weight coefficients with different modulation methods is above the preset matching coefficient threshold, as well as the amplification intervals in which there are multiple associated modulation methods, are taken as potential usable amplification intervals, namely A1 and A2.

[0075] S3 uses the adjustment processing strategy to determine the potential usable multiple range under the amplification multiple range, and combines the matching degree between the potential usable multiple and the alarm signal under different modulation methods to determine the usage strategy of the potential usable multiple range; Furthermore, the method for determining the usage strategy of the potential available multiple range is as follows: In this embodiment, based on the potential available multiple range and the degree of matching between the potential available multiple range and alarm signals under different modulation methods, the difficulty of identifying and analyzing the potential available multiple range and the reliability of eavesdropping detection and analysis under different modulation methods are determined. Based on the difficulty of identifying and analyzing the potential available multiple range and the reliability of eavesdropping detection and analysis under different modulation methods, the usage strategy of the potential available multiple range is determined, thereby ensuring both the difficulty of identification and analysis and the reliability of alarm processing under different modulation methods.

[0076] The usage strategy refers to the decision rule for determining how many potential available multiple ranges to use for amplification processing in the same amplification process, including two strategies: using the range with the target set ratio for amplification processing and using the range with the second target set ratio for amplification processing; the target set ratio is greater than the second target set ratio.

[0077] Assuming that the number of potentially available multiple ranges is small and the overall matching weight coefficient of some modulation methods is low, the ranges with the target set ratio are used for amplification to expand the recognition coverage.

[0078] The difficulty and reliability of identification and processing are assessed by evaluating the number of potential available multiple ranges and the comprehensive matching weight coefficient, and the usage strategy is determined accordingly, so as to achieve a balance between the difficulty of identification and processing and the reliability of alarm under the modulation method.

[0079] S31 determines the number of potential available multiple intervals based on the aforementioned potential available multiple intervals; It is understood that if the number of potential available multiple intervals is less than the preset value of the number of available intervals, then in the same amplification process, the amplification process is performed a preset number of times in each of the potential available multiple intervals with the target set ratio, and the identification and processing results of alarm signals in different potential available multiple intervals are obtained.

[0080] The preset value for the number of available intervals refers to the critical value used to determine whether the number of potentially available multiple intervals is sufficient. When the number is small, a larger proportion of intervals needs to be used for amplification to cover more modulation methods.

[0081] If the number of potentially available multiple intervals is lower than the preset number of available intervals, indicating that there are few available intervals, then intervals with a target set ratio will be enlarged to maximize the coverage.

[0082] When the number of potentially available multiple ranges is small, a larger amplification strategy is adopted. When the available ranges are insufficient, the number of ranges processed in each amplification process is increased to improve the recognition coverage.

[0083] It is also understood that if the number of potential available multiple intervals is not less than the preset value of the number of available intervals, proceed to step S32; S32, based on the degree of matching between the potential available multiple range and the alarm signal under different modulation methods, determine the sum of the matching weight coefficients of the modulation method under the potential available multiple, and use the sum of the matching weight coefficients of the modulation method under the potential available multiple as the comprehensive matching weight coefficient of the modulation method. The comprehensive matching weight coefficient is the sum of the matching weight coefficients of a certain modulation method in all potential usable multiple ranges, reflecting the overall matching degree of the modulation method in the potential usable multiple ranges.

[0084] Assuming that the matching weight coefficients of a certain modulation scheme are 0.40 and 0.32 in two potential usable multiple intervals, the overall matching weight coefficient is 0.72.

[0085] By summing the matching weight coefficients, the overall matching weight coefficient is calculated, which quantifies the overall adaptability of each modulation method within the potential usable multiple range, providing a basis for the detailed determination of subsequent usage strategies.

[0086] It is understandable that, based on the comprehensive matching weight coefficient of different modulation methods, it is determined whether there is a modulation method whose comprehensive matching weight coefficient is less than the preset value of the weight coefficient. If so, proceed to step S33; otherwise, in the same amplification process, the amplification process is performed a preset number of times within the potential available multiple range of the second target set ratio. The preset weighting coefficient value refers to the critical value for judging whether the overall matching weighting coefficient is low. When there are modulation methods with low overall matching weighting coefficients, it indicates that the adaptability of some modulation methods in the potentially usable range is insufficient, and further analysis is required. The second target setting ratio is smaller than the target setting ratio, and a smaller range is used for amplification processing.

[0087] Assuming that the overall matching weight coefficient of all modulation methods is not lower than the preset value of the weight coefficient, it indicates that the adaptation degree of each modulation method is good. Then, the interval of the second target setting ratio is used for amplification processing to save processing resources. When the adaptation degree of all modulation methods is good, a smaller ratio amplification strategy is adopted. When the adaptation degree is sufficient, the number of intervals for each amplification processing is reduced to save processing resources.

[0088] S33, using the number of potential available multiple ranges and the comprehensive matching weight coefficient of different modulation methods, determine the usage strategy of the potential available multiple ranges.

[0089] It is understandable that the strategy for using the potential available multiple ranges is determined by utilizing the number of such ranges and the comprehensive matching weight coefficients of different modulation schemes. Specifically, this includes: The modulation method with a comprehensive matching weight coefficient less than the preset value of the weight coefficient is taken as the adaptation deviation modulation method. It is determined whether the number of the adaptation deviation modulation methods is greater than the preset threshold of the number of deviation modulation methods. If so, in the same amplification process, the amplification process is performed a preset number of times in the potential available multiple range of the target set ratio, and the identification and processing results of the alarm signal in different potential available multiple ranges are obtained. If not, proceed to the next step. The adaptation deviation modulation method refers to a modulation method whose comprehensive matching weight coefficient is lower than a preset value, indicating that the adaptation degree of this modulation method is insufficient in the potential usable range. The preset deviation modulation method quantity threshold refers to a critical value for judging whether the number of adaptation deviation modulation methods is too large.

[0090] If the number of adapted deviation modulation methods exceeds the preset threshold for the number of deviation modulation methods, it indicates that there are many insufficiently adapted modulation methods. In this case, the range of the target set ratio is used for amplification to expand the coverage.

[0091] When there are many modulation methods with adaptation deviations, a larger amplification ratio strategy is adopted. When there are many modulation methods with insufficient adaptation, the coverage is improved by increasing the number of amplification intervals.

[0092] The adaptation value is determined by the adaptation deviation modulation method and the comprehensive matching weight coefficient of different modulation methods. It is then determined whether the adaptation value is greater than the preset adaptation threshold. If it is, the amplification process is performed within the potential available multiple range of the second target setting ratio in the same amplification process. If not, the amplification process is performed a preset number of times within the potential available multiple range of the target setting ratio in the same amplification process, and the identification and processing results of the alarm signal in different potential available multiple ranges are obtained.

[0093] The adaptation value is calculated as follows: the proportion of the number of adaptation deviation modulation methods among all modulation methods is used as the correction weight value, and the product of the correction weight value and the average of the comprehensive matching weight coefficients is used as the adaptation value. When the adaptation value is high, it indicates that there are many adaptation deviation modulation methods and the comprehensive matching degree is low, and amplification processing is performed within the potential available multiple range of the second target setting ratio; when the adaptation value is low, amplification processing is performed directly using the range of the target setting ratio.

[0094] If the calculated adaptation value is greater than the preset adaptation threshold, it is further determined whether there are multiple associated modulation methods in the potential available multiple range. If they exist, the target setting ratio is adopted; if they do not exist, the second target setting ratio is adopted. If the adaptation value is not greater than the preset adaptation threshold, the target setting ratio is adopted directly.

[0095] The usage strategy is further refined by the adaptation value. When there are not many adaptation deviation modulation methods but the degree of adaptation is insufficient, the amplification ratio is dynamically adjusted according to the distribution of related modulation methods in the potential available range, so as to achieve a precise match between the usage strategy and the degree of adaptation.

[0096] It should be noted that when performing the amplification process a preset number of times, a different amplification factor is randomly selected for each time within the potential available magnification range.

[0097] Assuming that three magnification processes are performed within a certain potential usable magnification range, a different magnification value is randomly selected from the range each time for magnification processing. By randomly selecting magnification values ​​for multiple magnification processes, the randomness covers different magnification points within the range, thereby improving the comprehensiveness of the recognition process.

[0098] This embodiment realizes a complete process from counting the number of potential available multiple ranges to calculating the comprehensive matching weight coefficient and determining the usage strategy. It judges the sufficiency of available ranges by the number of potential available multiple ranges and adopts a larger amplification strategy when the number is insufficient. It evaluates the compatibility of each modulation method by the comprehensive matching weight coefficient and further analyzes when the compatibility is insufficient. Through multi-layer judgment of the compatibility value and the distribution of associated modulation methods, it dynamically adjusts the amplification ratio when the compatibility is different, thereby achieving a precise match between the usage strategy and the compatibility.

[0099] Continuing with the calculation results of S2, the potential available multiple intervals are A1 and A2, a total of 2.

[0100] Step S31: The number of potential available multiple intervals is 2.

[0101] If the quantity 2 is less than the preset value of the available range quantity 3: 2 is less than 3, the strategy is to perform amplification processing a preset number of times (e.g., 3 times) within the potential available multiple range (i.e., A1 and A2) of the target set ratio (100%) in the same amplification process, and obtain the identification and processing results of the alarm signal in A1 and A2.

[0102] S4 uses the usage strategy and the potential available multiple to perform dynamic adjustment of the amplification multiple, and uses the updated identification results of the alarm signals under different modulation methods and the usage strategy to determine the update processing method of the amplification adaptation multiple range in the potential available multiple range.

[0103] Furthermore, the method for determining the update processing method of the magnification adaptation multiple range in the potential available multiple range is as follows: In this embodiment, by utilizing the updated identification results of alarm signals under different modulation methods, the modulation method of the alarm signal existing within the potential available multiple range is determined. Based on the number of modulation methods of the alarm signal existing within different potential available multiple ranges, the degree of compatibility between different potential available multiple ranges and different modulation methods is determined. Based on the degree of compatibility between different potential available multiple ranges and different modulation methods, and the usage strategy, the update processing method of the amplification adaptation multiple range within the potential available multiple range is determined. Thus, by timely updating the amplification adaptation multiple range, the probability of poor identification reliability of eavesdropping signals under some modulation methods is reduced when using a portion of the potential available multiple range for amplification processing.

[0104] Specifically, the method for determining the update processing method of the magnification adaptation multiple range in the potential available multiple range is as follows: In this embodiment, by utilizing the updated identification results of alarm signals under different modulation methods, the modulation method of the alarm signal existing within the potential available multiple range is determined. Based on the number of modulation methods of the alarm signal existing within different potential available multiple ranges, the degree of compatibility between different potential available multiple ranges and different modulation methods is determined. Based on the degree of compatibility between different potential available multiple ranges and different modulation methods, and the usage strategy, the update processing method of the amplification adaptation multiple range within the potential available multiple range is determined. Thus, by timely updating the amplification adaptation multiple range, the probability of poor identification reliability of eavesdropping signals under some modulation methods is reduced when using a portion of the potential available multiple range for amplification processing.

[0105] The amplification adaptation range refers to the range that is further selected from the potential available amplification range and needs to be amplified in each amplification process; the updated identification modulation method refers to the modulation method in which an alarm signal actually exists in a certain potential available amplification range.

[0106] If an alarm signal for multiple modulation schemes exists within a certain potential usable multiple range after the update identification, it indicates that the range has the ability to identify multiple modulation schemes, and thus it can be used as the amplification adaptation multiple range.

[0107] The degree of fit is assessed by updating the number of identified modulation methods and association methods, and the update processing method of the amplification fit ratio range is determined accordingly. The amplification fit ratio range is dynamically updated to avoid poor reliability of some modulation methods identification.

[0108] S41, using the updated identification results of alarm signals under different modulation methods, determine the modulation methods of alarm signals existing in different potential usable multiple ranges, and use the modulation methods of alarm signals existing in the potential usable multiple ranges as the updated identification modulation methods; The aforementioned update identification modulation method refers to a modulation method that actually detects the existence of alarm signals through update identification processing within a certain potential usable multiple range.

[0109] If alarm signals are found in M1 and M3 after amplification within the potential usable multiple range A1, then M1 and M3 are the updated identification modulation methods of A1.

[0110] By updating the identification results, the modulation method of the alarm signal in each interval is determined, and the actual identification results are converted into data on the adaptation relationship between the interval and the modulation method.

[0111] S42, based on the number of updated identification modulation methods in different potential available multiple ranges, determine the number of association methods in the potential available multiple range; The number of association methods refers to the total number of updated and identified modulation methods within a certain potential available multiple range. Assuming that A1 has two updated and identified modulation methods, M1 and M3, then the number of association methods for A1 is 2. By counting the number of association methods, the coverage of each potential available multiple range to the modulation method is quantified, providing a basis for determining the subsequent update processing method.

[0112] S43, based on the number of association methods in different potential available multiple ranges and the usage strategy, determine the update processing method for the magnification adaptation multiple range in the potential available multiple range.

[0113] Specifically, if the usage strategy is to perform a preset number of amplification processes within the potential available multiple range of the target set ratio in the same amplification process, the reliability of alarm signal identification and processing is relatively high. Therefore, if the update processing method of the amplification adaptation multiple range in the potential available multiple range is determined to be that the number of alarms under the modulation method above the set ratio threshold is greater than the preset value of the number of alarms, then the potential available multiple range is used as the amplification adaptation multiple range.

[0114] The set ratio threshold refers to the critical value at which the alarm count for a given ratio of modulation methods reaches a preset alarm count. When a strategy is used to set a target ratio, the recognition reliability is high, and a stricter update condition is adopted—the alarm count for modulation methods above the set ratio must reach a preset value before it is considered as an amplification adaptation range.

[0115] Assuming that a strategy is used to set a ratio for the target, and the number of alarms in a certain potential usable multiple range under modulation methods above the set ratio reaches the preset value, then this range is used as the amplification and adaptation multiple range. When the strategy is used to set a ratio for the target, stricter update conditions are adopted. When the recognition reliability is high, more stringent conditions are used to accurately select the range that truly has continuous recognition capability as the amplification and adaptation multiple range.

[0116] Additionally, it is understood that if the usage strategy does not involve performing a preset number of amplification processes within the potential available multiple range of the target set ratio in the same amplification process, then it includes the following: S431, based on the number of association methods in different potential available multiple intervals, determine whether there is a potential available multiple interval with a number of association methods greater than a preset threshold. If yes, proceed to step S432. If no, determine that the update processing method of the amplification adaptation multiple interval in the potential available multiple interval is that when there is alarm data under the modulation method above the set ratio threshold, the potential available multiple interval is taken as the amplification adaptation multiple interval. The preset threshold for the number of association methods refers to a critical value used to determine whether the number of association methods is excessive. When there is no interval where the number of association methods exceeds the threshold, a more lenient update condition is adopted—only modulation methods with a set ratio or higher need to have alarm data.

[0117] Assuming that the number of association methods for all potential available multiple ranges does not exceed a preset threshold, a more lenient condition is adopted. Only modulation methods with a set ratio or higher that have alarm data are considered as amplification adaptation multiple ranges. When there are no ranges with a high number of association methods, a more lenient update condition is adopted. When the coverage of each range for modulation methods is not high, the threshold is lowered to ensure that a sufficient number of ranges are selected as amplification adaptation multiple ranges.

[0118] S432, the potential available multiple range with a number of association methods greater than a preset threshold for the number of association methods is used as the filter available multiple range. The basic adaptation weight value is determined based on the number of filter available multiple ranges and the proportion of modulation methods with alarm data in the filter available multiple ranges. It is then determined whether the basic adaptation weight value is greater than the adaptation weight threshold. If yes, the update processing method for the amplification adaptation multiple range in the potential available multiple range is determined to be that when the number of alarms under modulation methods above a set ratio threshold is greater than a preset alarm count value, the potential available multiple range is used as the amplification adaptation multiple range. If no, the update processing method for the amplification adaptation multiple range in the potential available multiple range is determined to be that when there is alarm data under modulation methods above a set ratio threshold, and the number of alarms under multiple modulation methods is greater than a preset alarm count value, the potential available multiple range is used as the amplification adaptation multiple range.

[0119] The basic adaptation weight value is calculated as follows: the basic adaptation weight value is the sum of the proportions of modulation methods with alarm data within different filtering usable multiple ranges. When the basic adaptation weight value is high, it indicates that there are many filtering usable multiple ranges and the alarm modulation methods are widely covered, and a stricter update condition is adopted (the number of alarms above the set proportion reaches the preset value); when the basic adaptation weight value is low, an additional condition is adopted (alarm data exists above the set proportion and the number of alarms for multiple modulation methods reaches the preset value).

[0120] If the calculated basic adaptation weight value is greater than the adaptation weight threshold, it indicates a good degree of adaptation, and a stricter condition is adopted. If the basic adaptation weight value is not greater than the adaptation weight threshold, an additional condition is adopted to ensure that the selected interval has sufficient modulation mode coverage.

[0121] The update process is further refined by using a basic adaptation weight value. When there is a range of highly correlated methods but different degrees of adaptation, the strictness of the update conditions is dynamically adjusted according to the basic adaptation weight value, thereby achieving a precise match between the update process and the degree of adaptation.

[0122] Furthermore, when the potential available magnification range falls within the magnification adaptation range, a preset number of magnification processes are performed within the magnification adaptation range during all magnification processes.

[0123] If a certain potential usable multiple range is determined as the amplification adaptation multiple range, then in each subsequent amplification process, this range will be amplified a preset number of times to ensure continuous coverage. The amplification adaptation multiple range will be included in each amplification process. By continuously amplifying, the recognition coverage of the modulation mode by this range will be ensured without interruption, thereby maintaining the recognition reliability.

[0124] The various embodiments in this specification are described in a progressive manner. Similar or identical parts between embodiments can be referred to interchangeably. Each embodiment focuses on describing the differences from other embodiments. In particular, the embodiments for apparatus, devices, and non-volatile computer storage media are basically similar to the method embodiments, so the descriptions are relatively simple; relevant parts can be referred to the descriptions of the method embodiments.

[0125] The foregoing has described specific embodiments of this specification. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recited in the claims may be performed in a different order than that shown in the embodiments and may still achieve the desired result. Furthermore, the processes depicted in the drawings do not necessarily require the specific or sequential order shown to achieve the desired result. In some embodiments, multitasking and parallel processing are possible or may be advantageous.

[0126] The above description is merely one or more embodiments of this specification and is not intended to limit this specification. Various modifications and variations can be made to the one or more embodiments of this specification by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principle of one or more embodiments of this specification should be included within the scope of the claims of this specification.

Claims

1. A computer device, characterized in that, Specifically, it includes: The signal processing module is responsible for capturing optical signals in the visible light band and infrared light band respectively through a high-sensitivity photodetector and a narrow-band optical filter, converting the optical signals into analog electrical signals, amplifying the analog electrical signals through a high-gain amplifier, filtering out high-frequency noise through a low-pass filter, determining the potential usable multiple range under the amplification multiple range by adjusting the processing strategy, and determining the usage strategy of the potential usable multiple range by combining the matching degree between the potential usable multiple and the alarm signals under different modulation methods. The signal amplification processing module is responsible for using the updated identification results of alarm signals under different modulation methods and the usage strategy to determine the update processing method of the amplification adaptation multiple range in the potential available multiple range. Through the usage strategy of the potential available multiple range and the update results of the amplification adaptation multiple range, and combined with the adaptive gain control strategy, the amplification multiple is dynamically adjusted. The parameter extraction module is responsible for using a high-speed analog-to-digital converter to convert the amplified and filtered analog signal into a digital signal, and then performing waveform restoration and signal parameter extraction on the digital signal. The alarm processing module is responsible for extracting the feature vector of the digital signal, inputting the feature vector into a trained SVM classifier, identifying the modulation mode of the optical signal and the detection conclusion, and using the detection conclusion to determine whether an alarm is triggered.

2. The computer device as described in claim 1, characterized in that, By employing a strategy for utilizing the potential available magnification range and updating the magnification range, combined with an adaptive gain control strategy, the magnification is dynamically adjusted. Specifically, this includes: Based on the usage of the potential available amplification range corresponding to the strategy and the amplification adaptation factor range, the amplification factor range is determined; By utilizing the amplification factor range and the adaptive adjustment strategy of the amplification factor, the amplification factor is adjusted to obtain analog signals at multiple amplification factors.

3. The computer device as described in claim 1, characterized in that, The determination of whether an alarm has been triggered is based on the detection results, specifically including: Based on the detection conclusions obtained from the analog signals at different amplification levels, an alarm is triggered when the detection conclusion with the highest degree of consistency is found to be abnormal.

4. A method for detecting eavesdropping devices based on visible light and infrared light, applied to a computer device according to any one of claims 1-3, characterized in that, Specifically, it includes: S1 determines the analysis results of the alarm signal under different modulation methods based on the analysis results of the alarm signal under different modulation methods. When it is determined that the amplification factor needs to be optimized and adjusted based on the analysis results of the alarm signal under different modulation methods, it proceeds to the next step. S2 uses alarm signals under different modulation methods to determine the identification deviation risk type under the modulation method, and uses the correlation degree of the identification results of alarm signals under different modulation methods in different amplification ranges to determine the adjustment processing strategy of the amplification factor. S3 uses the adjustment processing strategy to determine the potential usable multiple range under the amplification multiple range, and combines the matching degree between the potential usable multiple and the alarm signal under different modulation methods to determine the usage strategy of the potential usable multiple range; S4 uses the usage strategy and the potential available multiple to perform dynamic adjustment of the amplification multiple, and uses the updated identification results of the alarm signals under different modulation methods and the usage strategy to determine the update processing method of the amplification adaptation multiple range in the potential available multiple range.

5. The method for detecting eavesdropping devices based on visible light and infrared light as described in claim 4, characterized in that, The analysis result of the alarm signal under the modulation method is determined based on the number of alarms under the modulation method.

6. The method for detecting eavesdropping devices based on visible light and infrared light as described in claim 4, characterized in that, The required magnification adjustment has been determined, specifically including: Based on the analysis results of alarm signals under different modulation methods, the number of alarms under the modulation method is determined; Based on the number of alarms under the modulation method, determine the modulation method with suspected identification deviation and identify it as the suspected deviation modulation method; Using suspected bias modulation data, determine whether amplification factor optimization is needed.

7. The method for detecting eavesdropping devices based on visible light and infrared light as described in claim 6, characterized in that, The suspected deviation modulation method is a modulation method where the number of alarms is less than a preset alarm number threshold.

8. The method for detecting eavesdropping devices based on visible light and infrared light as described in claim 6, characterized in that, Using the suspected deviation modulation data, determine whether amplification factor optimization adjustment is needed, specifically including: When the number of suspected deviation modulation methods is insufficient, and there are too many suspected deviation modulation methods, it is determined that the amplification factor needs to be optimized and adjusted.

9. The method for detecting eavesdropping devices based on visible light and infrared light as described in claim 5, characterized in that, The method for determining the magnification adjustment strategy is as follows: By using the identification results of alarm signals under different amplification ranges of the modulation method, the proportion of alarm times of the modulation method under different amplification ranges is determined, and the proportion of alarm times is used as the matching weight coefficient of the modulation method. The matching amplification range of the modulation method is then determined using the matching weight coefficient. Based on the degree of correlation between the matching amplification factor ranges of different modulation methods, the modulation method that the amplification factor range belongs to the matching amplification factor range is determined and used as the associated modulation method of the amplification factor range; The amplification adjustment strategy is determined by the associated modulation method in different amplification ranges and the matching weight coefficient of the associated modulation method in the amplification range.

10. The method for detecting eavesdropping devices based on visible light and infrared light as described in claim 4, characterized in that, The method for determining the update processing method of the magnification adaptation range in the potential available magnification range is as follows: By utilizing the updated identification results of alarm signals under different modulation schemes, the modulation schemes of alarm signals existing in different potential usable multiple ranges are determined, and the modulation schemes of alarm signals existing in the potential usable multiple ranges are used as the updated identification modulation schemes. Based on the number of updated identification modulation schemes in different potential available multiple ranges, the number of association schemes in the potential available multiple ranges is determined; Based on the number of association methods within different potential available multiple ranges and the usage strategy, the update processing method for the magnification adaptation multiple range within the potential available multiple range is determined.

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