A network-controlled wireless signal shielding method
By plotting the superimposed waveforms of interference and communication signals, analyzing strong resonant frequency points, and combining historical interference parameters and states, anti-interference signals are sent, solving the problem of rapid identification and quantification in wireless signal shielding, and achieving precise frequency targeting and reduced energy consumption.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- SHENZHEN LIMIT ELECTRONICS CO LTD
- Filing Date
- 2026-04-16
- Publication Date
- 2026-06-16
AI Technical Summary
Existing technologies lack the ability to quickly identify and quantify the characteristics of interference signals, resulting in insufficient convenience and scientific rigor in wireless signal shielding.
By plotting the superimposed waveforms of the interference signal and the communication signal, analyzing the strong resonant frequency points, and combining historical interference parameters and states, anti-interference signals are sent to achieve precise interference.
It achieves precise frequency targeting of specific communication signals, reduces ineffective interference energy, improves the success rate of interference, supports remote network management, reduces energy consumption, and shortens response time.
Smart Images
Figure CN122226201A_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the technical field of communication management, and more particularly to a method for blocking wireless signals in network control. Background Technology
[0002] In recent years, network-controlled wireless signal jamming technology has been evolving from extensive high-power suppression to intelligent, precise, and networked approaches. The introduction of SDR and cognitive radio technologies has enabled the system to have stronger adaptive and remote control capabilities. Remote radar detection and jamming equipment work together to quickly intercept illegal flying targets, remotely identify cheating electronic devices and simultaneously trigger signal jamming, use phased array antennas to directionally focus jamming energy, reduce power consumption and improve accuracy, and achieve networked monitoring and location of jamming signals based on wireless sensor networks (WSNs). Combined with cloud computing and big data technologies, electromagnetic big data mining and intelligent identification capabilities are enhanced.
[0003] Currently, Chinese invention patent CN120811542A discloses a signal jamming method based on deep reinforcement learning. This method constructs a dataset using historical wireless communication signals, trains a signal interference strategy generation model, deploys the model to a signal jammer, verifies and parses the signal jamming commands to obtain jamming parameters, inputs the real-time wireless communication signal and the jamming parameters into the deployed signal interference strategy generation model to obtain a real-time signal interference strategy, modulates a real-time interference signal based on the real-time interference strategy, and then amplifies the real-time interference signal through a power amplifier before transmitting it externally via a radio frequency antenna to perform signal jamming. However, this related technology does not quickly identify the components of the interference signal based on its characteristics, which is not conducive to the convenience and simplicity of interference signal identification. It also does not quantify the degree of interference using mathematical analysis methods to select an appropriate jamming method, which is not conducive to the scientific nature of wireless signal jamming and has certain limitations. Summary of the Invention
[0004] The technical problem solved by this invention is that related technologies do not quickly identify the components of interference signals based on their characteristics, which is not conducive to the convenience and simplicity of interference signal identification. They also do not quantify the degree of interference based on mathematical analysis methods to select appropriate shielding methods, which is not conducive to the scientific nature of wireless signal shielding and has certain limitations.
[0005] To solve the above technical problems, the present invention provides the following technical solution: a wireless signal shielding method for network control, comprising the following steps: Step S100, drawing a set of superimposed waveform diagrams of various interference signals and communication signals according to the expressions of the types of interference signals and the expressions of communication signals; Step S200: Perform a first analysis on the superimposed waveform set to obtain the strong resonance frequency points; Step S300: Based on the historical signal waveform diagram and the set of superimposed waveform diagrams, obtain the historical interference parameters corresponding to the historical waveform diagrams, perform a second analysis on the historical interference parameters and the corresponding strong resonance points to obtain the historical interference state, and send an anti-interference signal based on the historical interference state.
[0006] As a preferred embodiment of the wireless signal shielding method for network control described in this invention, the types of interference signals include single-tone interference, multi-tone interference, frequency sweep interference, pulse interference, and noise-based interference.
[0007] As a preferred embodiment of the wireless signal shielding method for network control described in this invention, step S100 includes the following sub-steps: step S101, retrieve the expression of the type of interference signal, and draw the corresponding waveform set according to the expression of the type of interference signal, denoted as the interference waveform set. Step S102: Retrieve the expression of the communication signal and draw the corresponding waveform based on the expression of the communication signal, which is recorded as the communication waveform; Step S103: Select any interference waveform from the set of interference waveforms, and superimpose the interference waveform with the communication waveform to obtain the superimposed waveform corresponding to the interference waveform. The superposition process involves inputting the expression corresponding to the interference waveform and the expression of the communication waveform into the communication simulation software, calling the built-in waveform synthesis engine in the communication simulation software to perform real-time superposition calculation, obtaining the communication signal waveform after being affected by the interference waveform, and recording the communication signal waveform after being affected by the interference waveform as the superimposed waveform. At this point, the superposition process of the interference waveform is completed. Step S104: Traverse each interference waveform to obtain the superimposed waveform corresponding to each interference waveform, and the superimposed waveforms constitute a set of superimposed waveform diagrams.
[0008] As a preferred embodiment of the wireless signal shielding method for network control described in this invention, the method for performing a first analysis on the set of superimposed waveform diagrams includes: obtaining any set of superimposed waveform diagrams, denoted as a first set; obtaining any element in the first set, denoted as a first element; and extracting the phase and amplitude of the interference type corresponding to the first element, denoted as the first phase and the first amplitude. Wherein, when the first element is the superimposed waveform diagram corresponding to the pulse interference type, the first phase is the trigger phase of the pulse sequence, and the first amplitude is the peak power of the pulse sequence; When the first element is the superimposed waveform diagram corresponding to the multi-tone interference type, the first phase is the average value of the phase of each single-tone interference signal component, and the first amplitude is the average value of the amplitude of each single-tone interference signal component. The second duration is set as the time interval, where the event interval is the common factor of the horizontal axis of the superimposed waveform. Based on the second duration, the superimposed waveform is divided to obtain each endpoint, and the first phase and first amplitude corresponding to any set of time-sequentially adjacent endpoints are obtained.
[0009] As a preferred embodiment of the wireless signal shielding method for network control described in this invention, a first difference in the first phase of the set of endpoints is calculated, and the absolute value of the first difference is taken; a second difference in the first amplitude of the set of endpoints is calculated, and the absolute value of the second difference is taken. Calculate the absolute value of the first difference and the first ratio of the first phase of the previous one in this set of endpoints; calculate the absolute value of the second difference and the second ratio of the first amplitude of the previous one in this set of endpoints. Calculate the average of the first ratio, and calculate the average of the second ratio; Calculate the third difference between the first ratio and the average of the first ratios for any set of endpoints, and calculate the fourth difference between the second ratio and the average of the second ratios for any set of endpoints. Set the first value as the phase change rate threshold, set the second value as the amplitude change rate threshold, compare the third difference with the first value, and compare the fourth difference with the second value. When the third difference is greater than the first value and the fourth difference is greater than the second value, all endpoints in this group are marked as strong resonant frequency points. When the third difference is less than or equal to the first value or the fourth difference is less than or equal to the second value, jump to the next set of endpoints. When all sets of endpoints have been traversed and there is no strong resonant frequency point, set the third value to the amount of reduction of the second duration. Continuously reduce the second duration according to the third value and continuously obtain each set of endpoints after the reduction until a strong resonant frequency point exists after the reduction operation. Then stop the continuous reduction operation and obtain the new second duration at this time.
[0010] As a preferred embodiment of the network-controlled wireless signal shielding method described in this invention, a mapping relationship is constructed between strong resonant frequency points, first amplitude, first phase, superimposed waveform diagram, and types of interference signals. By inputting the superimposed waveform into the mapping relationship, the strong resonance frequency point, the type of interference signal, the first amplitude, and the first phase corresponding to the superimposed waveform are obtained.
[0011] As a preferred embodiment of the network-controlled wireless signal shielding method described in this invention, the historical interference parameters include historical strong resonance frequency points, historical interference signal types, historical first amplitude, and historical first phase. The method for obtaining historical interference parameters corresponding to historical waveforms includes: obtaining any superimposed waveform, extracting the shape feature quantity of the superimposed waveform according to a machine vision algorithm, denoted as the first feature quantity, obtaining historical waveforms, extracting the shape feature quantity of the historical waveform, denoted as the second feature quantity, wherein both the first feature quantity and the second feature quantity are represented as shape feature quantities. The cosine similarity between the first and second feature quantities is calculated using the cosine similarity formula. Traverse each historical waveform graph to obtain the cosine similarity of each historical waveform graph; Sort the cosine similarity in descending order, select the superimposed waveform corresponding to the cosine similarity with the largest value, retrieve the mapping relationship, input the superimposed waveform into the mapping relationship, and obtain the strong resonance frequency point, interference signal type, first amplitude and first phase corresponding to the superimposed waveform. The strong resonance frequency point, interference signal type, first amplitude, and first phase corresponding to the superimposed waveform are respectively recorded as the historical strong resonance frequency point, historical interference signal type, historical first amplitude, and historical first phase.
[0012] As a preferred embodiment of the network-controlled wireless signal shielding method described in this invention, the historical interference states include a first state, a second state, and a third state, wherein the first state, the second state, and the third state represent increasingly greater historical interference levels.
[0013] As a preferred embodiment of the wireless signal shielding method for network control described in this invention, the second analysis method includes dividing the historical waveform into various frequency band subsets based on historical strong resonance frequency points, wherein each frequency band subset is processed by M receivers, and each receiver collects N samples for the frequency band subset. Let the sampled signal of the j-th receiver at the k-th time be represented as Let the received signal of the j-th receiver in the k-th iteration be represented as... Let the noise signal of the j-th receiver at the k-th time be represented as... ; in, Let the interference signal be represented by the j-th receiver during the k-th sampling. This is represented as the superimposed signal generated by the communication signal of the j-th receiver during the k-th sampling after interference. Let J be the channel gain of the j-th receiver during the k-th sampling. Will This is configured to assume that various frequency bands consisting of historical strong resonant frequencies are occupied. This setting indicates that there are no instances where frequency bands composed of historical strong resonant frequency points are occupied; The received signal of the receiver at the kth time is represented as: ; The received signal is represented in vector form, and the received signal in vector form is... ; in, Let Y represent the received signal of the Mth receiver at each sampling, where T is the transpose and Y is the received signal in vector form. That is, the received signal in vector form is represented as... A 3D matrix; The channel gain is expressed in vector form, where the vector channel gain is... ; in, Let G be the channel gain of the Mth receiver in each sampling, and G be the channel gain in vector form. The noise is represented in vector form, where the noise in vector form is... ; in, Let the noise of the Mth receiver be the noise during each sampling. Channel gain in vector form; The interference signal is represented in vector form, and the interference signal in vector form is represented as follows: ; in, Let P be the interference signal of the Mth receiver during each sampling, where P is the interference signal in vector form. The received signal in vector form is then represented as follows: ; Construct the vector form of the covariance matrix of the received signal. The vector form of the covariance matrix of the received signal is expressed as follows: ; in, Let covariance matrix be the variance matrix. Let be the covariance matrix of the interference signal in vector form, and H is the conjugate transpose flag, and E is the identity vector matrix. Let be the covariance matrix of the noise in vector form; Based on the eigenvalue calculation method of the matrix, all eigenvalues of the covariance matrix of the received signal in vector form are obtained; Select the eigenvalue with the largest numerical value; Set the fourth and fifth values as the feature value thresholds, and compare the feature value with the feature value thresholds with the largest value. When the largest eigenvalue is less than or equal to the fourth value, the historical interference state is set to the first state; when the largest eigenvalue is greater than the fourth value but less than or equal to the fifth value, the historical interference state is set to the second state; when the largest eigenvalue is greater than the fifth value, the historical interference state is set to the third state. Construct the correspondence between historical interference states, historical strong resonance frequency points, historical interference signal types, historical first amplitude, and historical first phase.
[0014] In a preferred embodiment of the wireless signal shielding method for network control described in this invention, an anti-interference signal is sent based on historical interference status. When the historical interference state is in the first state, no anti-interference signal is sent; When the historical interference state is the second state, send a first number of anti-interference signals at a first frequency, so that the average frequency of the current communication signal and the anti-interference signal is distributed between adjacent historical strong resonance frequency points. The distribution is represented as historical strong resonance frequency points that are greater than or equal to the smaller ones and less than or equal to the larger ones. When the historical interference state is the third state, send a second number of anti-interference signals at a second frequency, so that the average frequency of the current communication signal and the anti-interference signal is distributed between adjacent historical strong resonance frequency points. The distribution is represented as historical strong resonance frequency points that are greater than or equal to the smaller ones and less than or equal to the larger ones. The second quantity is greater than the first quantity.
[0015] The beneficial effects of this invention are as follows: By locating the resonant frequency point, it can achieve precise frequency strikes on specific communication signals, reducing ineffective interference energy. Based on historical data learning, the system can automatically adjust its strategy according to past interference effects, improving the success rate. It supports remote networked management, enabling multi-node collaborative interference to cover a larger area or dynamic targets, avoiding high-power interference across the entire frequency band, applying interference only at key resonant points, significantly reducing energy consumption, and the automated analysis process shortens the response time from signal identification to interference implementation. Attached Figure Description
[0016] Figure 1 This is a basic flowchart illustrating a network-controlled wireless signal shielding method according to an embodiment of the present invention. Detailed Implementation
[0017] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the scope of protection of this application.
[0018] It should be understood that the step numbers used herein are for ease of description only and are not intended to limit the order in which the steps are performed. It should also be understood that the terminology used in this specification is for the purpose of describing specific embodiments only and is not intended to limit the invention.
[0019] As used in this specification and the appended claims, the singular forms “a,” “an,” and “the” are intended to include the plural forms unless the context clearly indicates otherwise.
[0020] The terms “comprising” and “including” indicate the presence of the described feature, whole, step, operation, element and / or component, but do not exclude the presence or addition of one or more other features, wholes, steps, operations, elements, components and / or collections thereof.
[0021] The term “and / or” refers to any combination of one or more of the associated listed items, as well as all possible combinations, and includes these combinations.
[0022] Example, refer to Figure 1 As an embodiment of the present invention, a wireless signal shielding method for network control is provided, including the following steps: Step S100, drawing a set of superimposed waveform diagrams of various interference signals and communication signals according to the expressions of the types of interference signals and the expressions of communication signals; Step S200: Perform a first analysis on the superimposed waveform set to obtain the strong resonance frequency points; Step S300: Based on the historical signal waveform diagram and the set of superimposed waveform diagrams, obtain the historical interference parameters corresponding to the historical waveform diagrams, perform a second analysis on the historical interference parameters and the corresponding strong resonance points to obtain the historical interference state, and send an anti-interference signal based on the historical interference state.
[0023] More preferably, the present invention achieves precise frequency strikes on specific communication signals by locating the resonant frequency point, reducing ineffective interference energy. Based on historical data learning, the system can automatically adjust its strategy according to past interference effects, improving the success rate. It supports remote networked management, enables multi-node collaborative interference, covers a larger area or dynamic targets, avoids high-power interference across the entire frequency band, applies interference only at key resonant points, significantly reduces energy consumption, and the automated analysis process shortens the response time from signal identification to interference implementation.
[0024] Interference signals can be categorized into single-tone interference, multi-tone interference, frequency sweep interference, pulse interference, and interference with noise.
[0025] More preferably, the single-tone interference type (CWI) represents a suppression interference type, which interferes with communication signals by generating a stable sine wave signal and maintaining the fixed frequency of the sine wave; Multi-tone interference (SCWI) interferes with communication signals by superimposing multiple single-tone interference signals within a frequency band that causes inductive interference. Frequency sweeping interference (LFM) interferes with communication signals by causing the interference frequency to change linearly within a range of a first frequency change over a first time period. Impulse interference (PI) uses periodically repeating pulse signals with a duration less than or equal to a first duration and an amplitude greater than or equal to a first amplitude to interfere with communication signals. Noise-based interference (BI) types interfere with communication signals by concentrating the energy of Gaussian white noise of arbitrary power within an arbitrary signal frequency band.
[0026] More preferably, the single-tone interference presents as a stable continuous wave in the time domain with no obvious characteristics, and in the frequency domain, the single-tone interference presents as a wave with a fixed frequency and concentrated energy. The frequency points of the waveforms of multi-tone interference can be evenly spaced or randomly distributed, and the interference power of each frequency point can be equal or unequal. The waveforms of multi-tone interference cover the entire time period in the time domain. Due to the superposition of multiple frequency points, they exhibit complex fluctuation characteristics. The interference energy of the waveforms of multi-tone interference in the frequency domain is distributed across multiple frequency points, which enables multi-tone interference to interfere with communication signals in a wide frequency band. The waveform of the frequency sweeping interference type changes continuously within a certain period of time. Due to the dynamic change of the frequency of the waveform of the frequency sweeping interference type, the frequency of the interference source corresponding to the frequency sweeping interference type is difficult to determine. The waveform of pulse interference is characterized in the time domain as a pulse with a large amplitude and a short duration. The frequency domain characteristics of the waveform of pulse interference are characterized by a central main lobe and symmetrical attenuated side lobes on both sides, and the width of the main lobe is inversely proportional to the pulse width. When the bandwidth of a waveform with noise interference is greater than 10% of the bandwidth of the communication signal waveform, the type of noise interference is represented as broadband noise interference. When the bandwidth of a waveform with noise interference is less than or equal to 10% of the bandwidth of the communication signal waveform, the type of noise interference is represented as narrowband noise interference.
[0027] More preferably, the expressions corresponding to single-tone interference, multi-tone interference, frequency sweep interference, pulse interference, and noisy interference are all existing technologies. In the subsequent analysis process, these expressions are directly retrieved and processed to obtain the target waveform set, i.e., the superimposed waveform set, which is used to simulate the waveforms of various interference signals.
[0028] Step S100 includes the following sub-steps: Step S101, retrieve the expression for the type of interference signal, and draw the corresponding waveform set according to the expression for the type of interference signal, denoted as the interference waveform set; Step S102: Retrieve the expression of the communication signal and draw the corresponding waveform based on the expression of the communication signal, which is recorded as the communication waveform; Step S103: Select any interference waveform from the set of interference waveforms, and superimpose the interference waveform with the communication waveform to obtain the superimposed waveform corresponding to the interference waveform. The superposition process involves inputting the expression corresponding to the interference waveform and the expression of the communication waveform into the communication simulation software, calling the built-in waveform synthesis engine in the communication simulation software to perform real-time superposition calculation, obtaining the communication signal waveform after being affected by the interference waveform, and recording the communication signal waveform after being affected by the interference waveform as the superimposed waveform. At this point, the superposition process of the interference waveform is completed. Step S104: Traverse each interference waveform to obtain the superimposed waveform corresponding to each interference waveform, and the superimposed waveforms constitute a set of superimposed waveform diagrams.
[0029] More preferably, the expression for the types of single-tone interference is, ; in, The single-tone interference signal at time t, The power of the single-tone interference signal. The frequency of the single-tone interference signal. The phase of the single-tone interference signal; The expression for the types of multi-tone interference is, ; in, The multi-tone interference signal at time t. This refers to the number of single-tone interference signal components contained in a multi-tone interference signal. Distributed within a double-closed interval from 1 to M, where i is an integer, i represents the i-th single-tone interference signal component. Let be the frequency of the i-th single-tone interference signal component. Let be the phase of the i-th single-tone interference signal component; The expression for the types of frequency sweeping interference is, ; in, Distributed within the double-closed interval from (i-1)T to iT, The frequency sweep period of the frequency sweep interference signal. The starting frequency of the frequency sweep interference signal. The termination frequency of the frequency sweep interference signal. Let be the frequency sweep interference signal at time t. Let be the frequency of the sweep interference signal at time t. The phase of the frequency sweep interference signal; The expression for the types of impulse interference is, ; in, Let be the pulse interference signal at time t. The power of the pulse interference signal. The period of the pulse interference signal. It is the product of the duty cycle and the period of the pulse interference signal; The expression for the type of noise interference is the same as the expression for band-limited Gaussian white noise.
[0030] The method for performing a first analysis on a set of superimposed waveform diagrams includes: obtaining any set of superimposed waveform diagrams, denoted as the first set; obtaining any element in the first set, denoted as the first element; and extracting the phase and amplitude of the interference type corresponding to the first element, denoted as the first phase and the first amplitude. Wherein, when the first element is the superimposed waveform diagram corresponding to the pulse interference type, the first phase is the trigger phase of the pulse sequence, and the first amplitude is the peak power of the pulse sequence; When the first element is the superimposed waveform diagram corresponding to the multi-tone interference type, the first phase is the average value of the phase of each single-tone interference signal component, and the first amplitude is the average value of the amplitude of each single-tone interference signal component. The second duration is set as the time interval, where the event interval is the common factor of the horizontal axis of the superimposed waveform. Based on the second duration, the superimposed waveform is divided to obtain each endpoint, and the first phase and first amplitude corresponding to any set of time-sequentially adjacent endpoints are obtained. Calculate the first difference of the first phase of this set of endpoints, and take the absolute value of the first difference. Calculate the second difference of the first amplitude of this set of endpoints, and take the absolute value of the second difference. Calculate the absolute value of the first difference and the first ratio of the first phase of the previous one in this set of endpoints; calculate the absolute value of the second difference and the second ratio of the first amplitude of the previous one in this set of endpoints. Calculate the average of the first ratio, and calculate the average of the second ratio; Calculate the third difference between the first ratio and the average of the first ratios for any set of endpoints, and calculate the fourth difference between the second ratio and the average of the second ratios for any set of endpoints. Set the first value as the phase change rate threshold, set the second value as the amplitude change rate threshold, compare the third difference with the first value, and compare the fourth difference with the second value. When the third difference is greater than the first value and the fourth difference is greater than the second value, all endpoints in this group are marked as strong resonant frequency points. When the third difference is less than or equal to the first value or the fourth difference is less than or equal to the second value, jump to the next set of endpoints. When all sets of endpoints have been traversed and there is no strong resonant frequency point, set the third value to the amount of reduction of the second duration. Continuously reduce the second duration according to the third value and continuously obtain each set of endpoints after the reduction until a strong resonant frequency point exists after the reduction operation. Then stop the continuous reduction operation and obtain the new second duration at this time. More preferably, by acquiring strong resonance frequency points, the frequency bands with obvious resonance between the communication signal and the interference signal can be obtained, thereby providing a high-precision basis for preset frequency domain filtering parameters for the subsequent second analysis, and supporting the interference signal type identification module to classify and determine single-tone, multi-tone, frequency sweep, pulse and noisy interference in real time.
[0031] Construct a mapping relationship between strong resonant frequency points, first amplitude, first phase, superimposed waveform diagrams, and types of interference signals; By inputting the superimposed waveform into the mapping relationship, the strong resonance frequency point, the type of interference signal, the first amplitude, and the first phase corresponding to the superimposed waveform are obtained.
[0032] More preferably, by constructing a mapping relationship, the amplitude and phase information of the corresponding interference signal can be quickly obtained by superimposing a waveform image that matches the current waveform and by superimposing the waveform image.
[0033] Historical interference parameters include historical strong resonance frequency points, historical interference signal types, historical first amplitude, and historical first phase; The method for obtaining historical interference parameters corresponding to historical waveforms includes: obtaining any superimposed waveform, extracting the shape feature quantity of the superimposed waveform according to a machine vision algorithm, denoted as the first feature quantity, obtaining historical waveforms, extracting the shape feature quantity of the historical waveform, denoted as the second feature quantity, wherein both the first feature quantity and the second feature quantity are represented as shape feature quantities. The cosine similarity between the first and second feature quantities is calculated using the cosine similarity formula. Traverse each historical waveform graph to obtain the cosine similarity of each historical waveform graph; Sort the cosine similarity in descending order, select the superimposed waveform corresponding to the cosine similarity with the largest value, retrieve the mapping relationship, input the superimposed waveform into the mapping relationship, and obtain the strong resonance frequency point, interference signal type, first amplitude and first phase corresponding to the superimposed waveform. The strong resonance frequency point, interference signal type, first amplitude, and first phase corresponding to the superimposed waveform are respectively recorded as the historical strong resonance frequency point, historical interference signal type, historical first amplitude, and historical first phase.
[0034] The historical disturbance states include the first state, the second state, and the third state, where the degree of historical disturbance increases from the first state to the third state. The second analysis method includes dividing the historical waveform into various frequency band subsets based on historical strong resonance frequency points. Each frequency band subset is processed by M receivers, and each receiver collects N samples for the frequency band subset. Let the sampled signal of the j-th receiver at the k-th time be represented as Let the received signal of the j-th receiver in the k-th iteration be represented as... Let the noise signal of the j-th receiver at the k-th time be represented as... ; in, Let the interference signal be represented by the j-th receiver during the k-th sampling. This is represented as the superimposed signal generated by the communication signal of the j-th receiver during the k-th sampling after interference. Let J be the channel gain of the j-th receiver during the k-th sampling. Will This is configured to assume that various frequency bands consisting of historical strong resonant frequencies are occupied. This setting indicates that there are no instances where frequency bands composed of historical strong resonant frequency points are occupied; The received signal of the receiver at the kth time is represented as: ; The received signal is represented in vector form, and the received signal in vector form is... ; in, Let Y represent the received signal of the Mth receiver at each sampling, where T is the transpose and Y is the received signal in vector form. That is, the received signal in vector form is represented as... A 3D matrix; The channel gain is expressed in vector form, where the vector channel gain is... ; in, Let G be the channel gain of the Mth receiver in each sampling, and G be the channel gain in vector form. The noise is represented in vector form, where the noise in vector form is... ; in, Let the noise of the Mth receiver be the noise during each sampling. Channel gain in vector form; The interference signal is represented in vector form, and the interference signal in vector form is represented as follows: ; in, Let P be the interference signal of the Mth receiver during each sampling, where P is the interference signal in vector form. The received signal in vector form is then represented as follows: ; Construct the vector form of the covariance matrix of the received signal. The vector form of the covariance matrix of the received signal is expressed as follows: ; in, Let covariance matrix be the variance matrix. Let be the covariance matrix of the interference signal in vector form, and H is the conjugate transpose flag, and E is the identity vector matrix. Let be the covariance matrix of the noise in vector form; Based on the eigenvalue calculation method of the matrix, all eigenvalues of the covariance matrix of the received signal in vector form are obtained; Select the eigenvalue with the largest numerical value; Set the fourth and fifth values as the feature value thresholds, and compare the feature value with the feature value thresholds with the largest value. When the largest eigenvalue is less than or equal to the fourth value, the historical interference state is set to the first state; when the largest eigenvalue is greater than the fourth value but less than or equal to the fifth value, the historical interference state is set to the second state; when the largest eigenvalue is greater than the fifth value, the historical interference state is set to the third state. Construct the correspondence between historical interference states, historical strong resonance frequency points, historical interference signal types, historical first amplitude, and historical first phase.
[0035] More preferably, the corresponding historical interference state is obtained by inputting the historical strong resonance frequency point, the type of historical interference signal, the historical first amplitude, and the historical first phase into the correspondence relationship.
[0036] More preferably, by inputting historical strong resonance frequency points, historical interference signal types, historical first amplitude, and historical first phase, the historical interference state is obtained, providing data support for the subsequent transmission of anti-interference signals, thus enabling the quantification of interference signal strength.
[0037] Send anti-interference signals based on historical interference status; When the historical interference state is in the first state, no anti-interference signal is sent; When the historical interference state is the second state, send a first number of anti-interference signals at a first frequency, so that the average frequency of the current communication signal and the anti-interference signal is distributed between adjacent historical strong resonance frequency points. The distribution is represented as historical strong resonance frequency points that are greater than or equal to the smaller ones and less than or equal to the larger ones. When the historical interference state is the third state, send a second number of anti-interference signals at a second frequency, so that the average frequency of the current communication signal and the anti-interference signal is distributed between adjacent historical strong resonance frequency points. The distribution is represented as historical strong resonance frequency points that are greater than or equal to the smaller ones and less than or equal to the larger ones. The second quantity is greater than the first quantity.
[0038] More preferably, the present invention achieves precise frequency strikes on specific communication signals by locating the resonant frequency point, reducing ineffective interference energy. Based on historical data learning, the system can automatically adjust its strategy according to past interference effects, improving the success rate. It supports remote networked management, enables multi-node collaborative interference, covers a larger area or dynamic targets, avoids high-power interference across the entire frequency band, applies interference only at key resonant points, significantly reduces energy consumption, and the automated analysis process shortens the response time from signal identification to interference implementation.
[0039] Those skilled in the art will understand that embodiments of the present invention can be provided as methods, systems, or computer program products. Therefore, the present invention can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention can take the form of a computer program product implemented on one or more computer-usable storage media containing computer-usable program code. The storage medium can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as Static Random Access Memory (SRAM), Electrically Erasable Programmable Read-Only Memory (EEPROM), Erasable Programmable Read Only Memory (EPROM), Programmable Red-Only Memory (PROM), Read-Only Memory (ROM), magnetic storage, flash memory, magnetic disk, or optical disk. These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.
[0040] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention, and all such modifications or substitutions should be covered within the protection scope of the present invention.
Claims
1. A network-controlled wireless signal jamming method, characterized in that, The process includes the following steps: Step S100, drawing a set of superimposed waveforms of each interference signal and communication signal based on the expressions for the types of interference signals and the expressions for communication signals; Step S200: Perform a first analysis on the superimposed waveform set to obtain the strong resonance frequency points; Step S300: Based on the historical signal waveform diagram and the set of superimposed waveform diagrams, obtain the historical interference parameters corresponding to the historical waveform diagrams, perform a second analysis on the historical interference parameters and the corresponding strong resonance points to obtain the historical interference state, and send an anti-interference signal based on the historical interference state.
2. The network-controlled wireless signal shielding method as described in claim 1, characterized in that, Interference signals can be categorized into single-tone interference, multi-tone interference, frequency sweep interference, pulse interference, and interference with noise.
3. The network-controlled wireless signal shielding method as described in claim 1, characterized in that, Step S100 includes the following sub-steps: Step S101, retrieve the expression for the type of interference signal, and draw the corresponding waveform set according to the expression for the type of interference signal, denoted as the interference waveform set; Step S102: Retrieve the expression of the communication signal and draw the corresponding waveform based on the expression of the communication signal, which is recorded as the communication waveform; Step S103: Select any interference waveform from the set of interference waveforms, and superimpose the interference waveform with the communication waveform to obtain the superimposed waveform corresponding to the interference waveform. The superposition process involves inputting the expression corresponding to the interference waveform and the expression of the communication waveform into the communication simulation software, calling the built-in waveform synthesis engine in the communication simulation software to perform real-time superposition calculation, obtaining the communication signal waveform after being affected by the interference waveform, and recording the communication signal waveform after being affected by the interference waveform as the superimposed waveform. At this point, the superposition process of the interference waveform is completed. Step S104: Traverse each interference waveform to obtain the superimposed waveform corresponding to each interference waveform, and the superimposed waveforms constitute a set of superimposed waveform diagrams.
4. The network-controlled wireless signal shielding method as described in claim 3, characterized in that, The method for performing a first analysis on a set of superimposed waveform diagrams includes: obtaining any set of superimposed waveform diagrams, denoted as the first set; obtaining any element in the first set, denoted as the first element; and extracting the phase and amplitude of the interference type corresponding to the first element, denoted as the first phase and the first amplitude. Wherein, when the first element is the superimposed waveform diagram corresponding to the pulse interference type, the first phase is the trigger phase of the pulse sequence, and the first amplitude is the peak power of the pulse sequence; When the first element is the superimposed waveform diagram corresponding to the multi-tone interference type, the first phase is the average value of the phase of each single-tone interference signal component, and the first amplitude is the average value of the amplitude of each single-tone interference signal component. The second duration is set as the time interval, where the event interval is the common factor of the horizontal axis of the superimposed waveform. Based on the second duration, the superimposed waveform is divided to obtain each endpoint, and the first phase and first amplitude corresponding to any set of time-sequentially adjacent endpoints are obtained.
5. A network-controlled wireless signal shielding method as described in claim 4, characterized in that, Calculate the first difference of the first phase of this set of endpoints, and take the absolute value of the first difference. Calculate the second difference of the first amplitude of this set of endpoints, and take the absolute value of the second difference. Calculate the absolute value of the first difference and the first ratio of the first phase of the previous one in this set of endpoints; calculate the absolute value of the second difference and the second ratio of the first amplitude of the previous one in this set of endpoints. Calculate the average of the first ratio, and calculate the average of the second ratio; Calculate the third difference between the first ratio and the average of the first ratios for any set of endpoints, and calculate the fourth difference between the second ratio and the average of the second ratios for any set of endpoints. Set the first value as the phase change rate threshold, set the second value as the amplitude change rate threshold, compare the third difference with the first value, and compare the fourth difference with the second value. When the third difference is greater than the first value and the fourth difference is greater than the second value, all endpoints in this group are marked as strong resonant frequency points. When the third difference is less than or equal to the first value or the fourth difference is less than or equal to the second value, jump to the next set of endpoints. When all sets of endpoints have been traversed and there is no strong resonant frequency point, set the third value to the amount of reduction of the second duration. Continuously reduce the second duration according to the third value and continuously obtain each set of endpoints after the reduction until a strong resonant frequency point exists after the reduction operation. Then stop the continuous reduction operation and obtain the new second duration at this time.
6. The network-controlled wireless signal shielding method as described in claim 4, characterized in that, Construct a mapping relationship between strong resonant frequency points, first amplitude, first phase, superimposed waveform diagrams, and types of interference signals; By inputting the superimposed waveform into the mapping relationship, the strong resonance frequency point, the type of interference signal, the first amplitude, and the first phase corresponding to the superimposed waveform are obtained.
7. A network-controlled wireless signal shielding method as described in claim 1, characterized in that, Historical interference parameters include historical strong resonance frequency points, historical interference signal types, historical first amplitude, and historical first phase; The method for obtaining historical interference parameters corresponding to historical waveforms includes: obtaining any superimposed waveform, extracting the shape feature quantity of the superimposed waveform according to a machine vision algorithm, denoted as the first feature quantity, obtaining historical waveforms, extracting the shape feature quantity of the historical waveform, denoted as the second feature quantity, wherein both the first feature quantity and the second feature quantity are represented as shape feature quantities. The cosine similarity between the first and second feature quantities is calculated using the cosine similarity formula. Traverse each historical waveform graph to obtain the cosine similarity of each historical waveform graph; Sort the cosine similarity in descending order, select the superimposed waveform corresponding to the cosine similarity with the largest value, retrieve the mapping relationship, input the superimposed waveform into the mapping relationship, and obtain the strong resonance frequency point, interference signal type, first amplitude and first phase corresponding to the superimposed waveform. The strong resonance frequency point, interference signal type, first amplitude, and first phase corresponding to the superimposed waveform are respectively recorded as the historical strong resonance frequency point, historical interference signal type, historical first amplitude, and historical first phase.
8. A network-controlled wireless signal shielding method as described in claim 1, characterized in that, The historical disturbance states include the first state, the second state, and the third state, with the degree of historical disturbance increasing from the first state to the third state.
9. A network-controlled wireless signal shielding method as described in claim 1, characterized in that, The second analysis method includes dividing the historical waveform into various frequency band subsets based on historical strong resonance frequency points. Each frequency band subset is processed by M receivers, and each receiver collects N samples for the frequency band subset. Let the sampled signal of the j-th receiver at the k-th time be represented as Let the received signal of the j-th receiver in the k-th iteration be represented as... Let the noise signal of the j-th receiver at the k-th time be represented as... ; in, Let the interference signal be represented by the j-th receiver during the k-th sampling. This is represented as the superimposed signal generated by the communication signal of the j-th receiver during the k-th sampling after interference. Let J be the channel gain of the j-th receiver during the k-th sampling. Will This is configured to assume that various frequency bands consisting of historical strong resonant frequencies are occupied. This setting indicates that there are no instances where frequency bands composed of historical strong resonant frequency points are occupied; The received signal of the receiver at the kth time is represented as: ; The received signal is represented in vector form, and the received signal in vector form is... ; in, Let Y represent the received signal of the Mth receiver at each sampling, where T is the transpose and Y is the received signal in vector form. That is, the received signal in vector form is represented as... A 3D matrix; The channel gain is expressed in vector form, where the vector channel gain is... ; in, Let G be the channel gain of the Mth receiver in each sampling, and G be the channel gain in vector form. The noise is represented in vector form, where the noise in vector form is... ; in, Let the noise of the Mth receiver be the noise during each sampling. Channel gain in vector form; The interference signal is represented in vector form, and the interference signal in vector form is represented as follows: ; in, Let P be the interference signal of the Mth receiver during each sampling, where P is the interference signal in vector form. The received signal in vector form is then represented as follows: ; Construct the vector form of the covariance matrix of the received signal. The vector form of the covariance matrix of the received signal is expressed as follows: ; in, Let covariance matrix be the variance matrix. Let be the covariance matrix of the interference signal in vector form, and H is the conjugate transpose flag, and E is the identity vector matrix. Let be the covariance matrix of the noise in vector form; Based on the eigenvalue calculation method of the matrix, all eigenvalues of the covariance matrix of the received signal in vector form are obtained; Select the eigenvalue with the largest numerical value; Set the fourth and fifth values as the feature value thresholds, and compare the feature value with the feature value thresholds with the largest value. When the largest eigenvalue is less than or equal to the fourth value, the historical interference state is set to the first state; when the largest eigenvalue is greater than the fourth value but less than or equal to the fifth value, the historical interference state is set to the second state; when the largest eigenvalue is greater than the fifth value, the historical interference state is set to the third state. Construct the correspondence between historical interference states, historical strong resonance frequency points, historical interference signal types, historical first amplitude, and historical first phase.
10. A network-controlled wireless signal shielding method as described in claim 1, characterized in that, Send anti-interference signals based on historical interference status; When the historical interference state is in the first state, no anti-interference signal is sent; When the historical interference state is the second state, send a first number of anti-interference signals at a first frequency, so that the average frequency of the current communication signal and the anti-interference signal is distributed between adjacent historical strong resonance frequency points. The distribution is represented as historical strong resonance frequency points that are greater than or equal to the smaller ones and less than or equal to the larger ones. When the historical interference state is the third state, send a second number of anti-interference signals at a second frequency, so that the average frequency of the current communication signal and the anti-interference signal is distributed between adjacent historical strong resonance frequency points. The distribution is represented as historical strong resonance frequency points that are greater than or equal to the smaller ones and less than or equal to the larger ones. The second quantity is greater than the first quantity.