A UAV interference method, system and electronic equipment

Abstract

The present application discloses a method, system and electronic equipment for jamming a UAV, which are applied to the field of UAV technology. First, a time domain broadband signal is collected, and when a leading sequence of a communication signal output by a UAV is determined based on the time domain broadband signal, an interference signal matching the type of UAV corresponding to the leading sequence is output to achieve the purpose of jamming the UAV. By analyzing the leading sequence, precise interference is achieved on the subsequent communication signals of the UAV. The interference range is small and will not affect other communication signals, thereby reducing the power generated by jamming the UAV and improving the jamming efficiency.

Description

Technical Field

[0001] The present application relates to the field of drone technology, and in particular to a drone jamming method, system and electronic equipment. Background Art

[0002] With the development of society, the application of drones is becoming more and more widespread, which makes the potential safety hazards caused by the use of drones more obvious. Based on this, interference with drones to reduce or avoid potential safety hazards has attracted attention.

[0003] At present, the most common interference method is broadband interference. Compared with the interference signal, the drone signal only occupies a very small part of the bandwidth, which causes most of the power to be wasted in the frequency band without drone signals, making the interference amplifier less efficient. It will also affect the normal communication of other signals within the range of the interference signal but outside the frequency band of drone signal communication. Summary of the invention

[0004] In view of this, the present application provides a drone jamming method, system and electronic device, the specific scheme of which is as follows:

[0005] A method for interfering with a drone, comprising:

[0006] Collecting a time domain broadband signal at each preset frequency point in a plurality of preset frequency points, wherein the frequency ranges at which the collected plurality of time domain broadband signals are located are combined to cover the width of the frequency band;

[0007] Determine a preamble sequence based on multiple time-domain broadband signals, wherein the preamble sequence is located at a starting position of a communication signal output by the drone, and different types of drones output different preamble sequences;

[0008] Determine an interference signal that matches the drone type corresponding to the preamble sequence, and output the interference signal to interfere with the output of the communication signal by the drone that outputs the preamble sequence.

[0009] Further, determining the preamble sequence based on multiple time domain broadband signals includes:

[0010] Convert each of the multiple time-domain wideband signals into a frequency-domain signal;

[0011] Determine a time domain broadband signal that meets the signal-to-noise ratio requirement based on the frequency domain signal, and determine frequency and bandwidth information of the time domain broadband signal that meets the signal-to-noise ratio requirement;

[0012] The time domain wideband signal is processed based on the frequency and bandwidth information of the time domain wideband signal that meets the signal-to-noise ratio requirement to determine a preamble sequence.

[0013] Further, the processing of the time domain wideband signal based on the frequency and bandwidth information of the time domain wideband signal that meets the signal-to-noise ratio requirement to determine the preamble sequence includes:

[0014] Channelize the time-domain broadband signal based on the frequency and bandwidth information of the time-domain broadband signal that meets the signal-to-noise ratio requirement to obtain corresponding baseband data streams respectively;

[0015] Performing autocorrelation processing on the obtained baseband data stream to obtain an autocorrelation result, and determining correlation peak information in the autocorrelation result;

[0016] The preamble sequence is determined based on the correlation peak information.

[0017] Further, determining a time domain broadband signal that meets a signal-to-noise ratio requirement based on the frequency domain signal includes:

[0018] Performing low-pass filtering on the frequency domain signal to obtain a low-frequency frequency domain signal;

[0019] Determining frequency and bandwidth information of each of the low-frequency frequency domain signals;

[0020] Determine a signal-to-noise ratio of each of the low-frequency frequency domain signals based on the frequency and bandwidth information;

[0021] The signal-to-noise ratio is compared with a target threshold corresponding to the signal-to-noise ratio requirement to determine a time-domain wideband signal that meets the signal-to-noise ratio requirement.

[0022] Furthermore, the determining of the frequency and bandwidth information of each of the low-frequency frequency domain signals includes:

[0023] Determining a frequency spectrum envelope of the low-frequency frequency domain signal;

[0024] Determine the rising edge and the falling edge of the spectrum envelope of the low-frequency frequency domain signal;

[0025] The frequency and bandwidth information of each of the low-frequency frequency domain signals is determined based on the rising edge and the falling edge of the spectrum envelope.

[0026] Further, determining the signal-to-noise ratio of each of the low-frequency frequency domain signals based on the frequency and bandwidth information includes:

[0027] Determine the in-band power and out-of-band power of each of the low-frequency frequency domain signals based on the frequency and bandwidth information of each of the low-frequency frequency domain signals;

[0028] A signal-to-noise ratio of each of the low-frequency frequency domain signals is determined based on the in-band power and the out-of-band power.

[0029] Further, the determining an interference signal matching the type of drone corresponding to the leading sequence and outputting the interference signal includes:

[0030] Determining whether the drone type corresponding to the leading sequence matches the target interference data in the pre-stored interference data, wherein the target interference data includes: a target interference signal and a target interference parameter;

[0031] The target interference signal is output according to the target interference parameter to interfere with the output of the communication signal by the drone that outputs the leading sequence.

[0032] Furthermore, converting each of the multiple time-domain broadband signals into a frequency-domain signal comprises:

[0033] When it is determined that a target number of time-domain broadband signals at preset frequency points are collected, each of the multiple time-domain broadband signals is converted into a frequency-domain signal.

[0034] A UAV jamming system, comprising:

[0035] A collection unit, used for collecting a time domain broadband signal at each preset frequency point of a plurality of preset frequency points, wherein the frequency ranges of the collected plurality of time domain broadband signals are combined to cover the width of the frequency band;

[0036] A determination unit, configured to determine a preamble sequence based on a plurality of time-domain broadband signals, wherein the preamble sequence is located at a starting position of a communication signal output by a drone, and different types of drones output different preamble sequences;

[0037] An interference unit is used to determine an interference signal that matches the type of drone corresponding to the leading sequence, and output the interference signal to interfere with the output of the communication signal by the drone that outputs the leading sequence.

[0038] An electronic device, comprising:

[0039] A radio frequency transceiver, used to collect a time domain broadband signal at each preset frequency point in a plurality of preset frequency points, and output an interference signal; wherein the frequency ranges of the collected plurality of time domain broadband signals are combined to cover the width of the frequency band;

[0040] A processor is used to determine a preamble sequence based on multiple time-domain broadband signals, wherein the preamble sequence is located at the starting position of a communication signal output by a drone, and different types of drones output different preamble sequences; determine an interference signal that matches the drone type corresponding to the preamble sequence, and control the radio frequency transceiver to output the interference signal to interfere with the output of the communication signal by the drone that outputs the preamble sequence.

[0041] It can be seen from the above technical scheme that the UAV interference method, system and electronic device disclosed in the present application collect time domain broadband signals at each preset frequency point position in multiple preset frequency points, wherein the frequency ranges of the collected multiple time domain broadband signals can cover the width of the frequency band after combination; determine the leading sequence based on multiple time domain broadband signals, wherein the leading sequence is located at the starting position of the communication signal output by the UAV, and the leading sequences output by different types of UAVs are different; determine the interference signal matching the type of UAV corresponding to the leading sequence, and output the interference signal to interfere with the output of the communication signal by the UAV outputting the leading sequence. This scheme first collects the time domain broadband signal, and when determining the leading sequence of the communication signal output by the UAV based on the time domain broadband signal, outputs the interference signal matching the type of UAV corresponding to the leading sequence, so as to achieve the purpose of interfering with the UAV, and by analyzing the leading sequence, realizes the precise interference of the subsequent communication signal of the UAV, and its interference range is small, and will not affect other communication signals, reducing the power generated by interfering with the UAV and improving the interference efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the related technologies, the drawings required for use in the embodiments or the related technical descriptions are briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0043] Figure 1 This is a flow chart of a UAV interference method disclosed in an embodiment of the present application;

[0044] Figure 2 This is a flow chart of a UAV interference method disclosed in an embodiment of the present application;

[0045] Figure 3 This is a flow chart of a UAV interference method disclosed in an embodiment of the present application;

[0046] Figure 4 A schematic diagram of the structure of a UAV jamming system disclosed in an embodiment of the present application;

[0047] Figure 5 A schematic diagram of the structure of an electronic device disclosed in an embodiment of the present application. DETAILED DESCRIPTION

[0048] The following describes the embodiments of the present application in conjunction with the drawings in the embodiments of the present application. The terms used in the implementation method section of the present application are only used to explain the specific embodiments of the present application, and are not intended to limit the present application.

[0049] The embodiments of the present application are described below in conjunction with the accompanying drawings. Those skilled in the art will appreciate that, with the development of technology and the emergence of new scenarios, the technical solutions provided in the embodiments of the present application are also applicable to similar technical problems.

[0050] The terms "first", "second", etc. in the specification and claims of the present application and the above-mentioned drawings are used to distinguish similar objects, and need not be used to describe a specific order or sequential order. It should be understood that the terms used in this way can be interchangeable under appropriate circumstances, which is only to describe the distinction mode adopted by the objects of the same attributes when describing in the embodiments of the present application. In addition, the terms "including" and "having" and any of their variations are intended to cover non-exclusive inclusions, so that the process, method, system, product or equipment comprising a series of units need not be limited to those units, but may include other units that are not clearly listed or inherent to these processes, methods, products or equipment.

[0051] This application discloses a method for interfering with a drone, and its flow chart is as follows: Figure 1 As shown, including:

[0052] Step S11, collecting a time domain broadband signal at each preset frequency point in a plurality of preset frequency points, wherein the frequency ranges at which the collected plurality of time domain broadband signals are located are combined to cover the width of the frequency band;

[0053] Step S12: determining a preamble sequence based on the multiple time-domain broadband signals, wherein the preamble sequence is located at the starting position of the communication signal output by the drone, and different types of drones output different preamble sequences;

[0054] Step S13: determine an interference signal that matches the drone type corresponding to the preamble sequence, and output the interference signal to interfere with the output of the communication signal by the drone that outputs the preamble sequence.

[0055] With the development of society, the application of drones is becoming more and more widespread, which makes the potential safety hazards caused by the use of drones more obvious. Based on this, interference with drones to reduce or avoid potential safety hazards has attracted attention.

[0056] At present, the most common interference method is broadband interference. Compared with the interference signal, the drone signal only occupies a very small part of the bandwidth, which causes most of the power to be wasted in the frequency band without drone signals, making the interference amplifier less efficient. It will also affect the normal communication of other signals within the range of the interference signal but outside the frequency band of drone signal communication.

[0057] Based on this, the present scheme can collect multiple time domain broadband signals within the coverage frequency bandwidth range and determine the preamble sequence. When it is determined that there is a preamble sequence, it can be determined that a drone is about to output a communication signal. The interference signal of the drone type corresponding to the preamble sequence can be directly determined based on the preamble sequence, and the interference signal can be output to achieve the output of subsequent communication signals to the drone that outputs the preamble sequence, so as to achieve the purpose of accurately interfering with the drone communication signal without expanding the interference range, reducing the interference power, and improving the interference efficiency. At the same time, it will not affect other communication signals.

[0058] Specifically, multiple preset frequency points are pre-set, and the multiple preset frequency points are respectively set at different frequency point positions. By collecting radio frequency signals at multiple preset frequency points, data within a certain bandwidth range of the preset frequency points can be collected. Multiple preset frequency points are set at intervals, so that when the radio frequency signals at each preset frequency point are collected respectively, data within the entire complete frequency band bandwidth can be collected.

[0059] Among them, the bandwidth interval between adjacent preset frequency points is related to the acquisition bandwidth of the RF transceiver, wherein the RF transceiver is used to collect time domain broadband signals at the preset frequency point position. For example, if the acquisition bandwidth of the RF transceiver is 56M, the signal at the preset frequency point position is collected by the RF transceiver, and what can be collected is the ±28M bandwidth range at the preset frequency point position.

[0060] For example: the signal acquisition bandwidth of the RF transceiver is 56M, and the RF local oscillator adjustment range is 70-6000M. By adjusting the local oscillator frequency, RF signals at different preset frequency points can be collected. For example, if you need to collect signals in the range of 2400-2500M, then you can set the preset frequency points to 2420M, 2450M, and 2480M. Each frequency point can cover data within the bandwidth range of ±28M.

[0061] In addition, different preset frequencies can be set in different frequency bands to cover the frequencies of mainstream drones on the market. Therefore, no matter which brand of drone, it can collect the drone's signal when collecting the time domain broadband signal at the preset frequency position. The frequency bands include but are not limited to the following: 400M, 800M, 900M, 1.2G, 1.4G, 1.6G, 2.4G, 5.2G, 5.8GHz.

[0062] After the time domain broadband signal at each preset frequency point is collected, the time domain broadband signal may be processed to determine the preamble sequence.

[0063] Among them, the preamble sequence is located at the starting position of the data frame in the communication signal output by the drone. Its main function is to help the receiver perform time synchronization, frequency offset estimation and channel estimation. The preamble sequence is sent before the actual data payload. This layout enables the receiver to parse the preamble sequence first before processing the actual data, so as to be ready to receive subsequent valid signals.

[0064] Since the preamble sequences output by different types of drones are different, in this embodiment, after determining the preamble sequence output by the drone based on the collected time-domain broadband signal, the type of the drone is determined based on the analysis of the preamble sequence, and an interference signal matching the type of the drone is determined, and the interference signal is directly output to interfere with the communication signal output by the drone of this type.

[0065] Since the preamble sequence is the starting frame in the data frame of the communication signal output by the drone, when the preamble sequence output by the drone is received, the drone has not yet output a valid signal. Therefore, when the type of drone is determined based on the preamble sequence and the interference signal is determined and output based on the type of drone, the valid signal output by the drone can be directly interfered with, making it impossible for it to communicate normally. Moreover, in this way, only the drone of this type is interfered with, while other signals will not be interfered with, and the transmission of other signals will not be affected. In addition, the specific type of drone is accurately interfered with, so that the range of the output interference signal is smaller, and there is no need to output a larger range of interference signals, which reduces the interference power and improves the interference effect.

[0066] The drone jamming method disclosed in this embodiment collects a time domain broadband signal at each preset frequency point position in a plurality of preset frequency points, wherein the frequency ranges of the collected multiple time domain broadband signals are combined to cover the width of the frequency band; determines a preamble sequence based on the multiple time domain broadband signals, wherein the preamble sequence is located at the starting position of the communication signal output by the drone, and the preamble sequences output by different types of drones are different; determines an interference signal matching the drone type corresponding to the preamble sequence, and outputs an interference signal to interfere with the output of the communication signal by the drone outputting the preamble sequence. This scheme first collects a time domain broadband signal, and when determining the preamble sequence of the communication signal output by the drone based on the time domain broadband signal, outputs an interference signal matching the drone type corresponding to the preamble sequence to achieve the purpose of jamming the drone, and by analyzing the preamble sequence, achieves precise jamming of the drone's subsequent communication signals, and its jamming range is small, and will not affect other communication signals, thereby reducing the power generated by jamming the drone and improving the jamming efficiency.

[0067] This embodiment discloses a method for interfering with a drone, and its flow chart is as follows: Figure 2 As shown, including:

[0068] Step S21, collecting a time domain broadband signal at each preset frequency point in a plurality of preset frequency points, wherein the frequency ranges at which the collected plurality of time domain broadband signals are located are combined to cover the width of the frequency band;

[0069] Step S22, converting each of the multiple time-domain broadband signals into a frequency-domain signal;

[0070] Step S23: determining a time domain broadband signal that meets the signal-to-noise ratio requirement based on the frequency domain signal, and determining frequency and bandwidth information of the time domain broadband signal that meets the signal-to-noise ratio requirement;

[0071] Step S24, processing the time domain broadband signal based on the frequency and bandwidth information of the time domain broadband signal that meets the signal-to-noise ratio requirement to determine a preamble sequence;

[0072] Step S25: determine an interference signal that matches the drone type corresponding to the leading sequence, and output the interference signal to interfere with the output of the communication signal by the drone that outputs the leading sequence.

[0073] To interfere with the communication signal of a drone, when the drone starts to output the communication signal, all signals within the frequency band bandwidth are collected to determine whether there is a leading sequence of the communication signal output by the drone within the frequency band bandwidth. The leading sequence is then analyzed to determine the type of drone that outputs the leading sequence, and based on the type of drone, an interference signal that matches the type of drone is determined. The interference signal is output to ensure that when the drone outputs a valid signal in the communication signal, the interference signal can interfere with it, thereby avoiding the transmission of its valid signal.

[0074] The preamble sequence can be determined by processing the time domain broadband signal collected at each preset frequency point position in the multiple preset frequency points covering the frequency bandwidth range to determine the preamble sequence. The time domain broadband signal can be processed by first converting each time domain broadband signal into a frequency domain signal, and Fourier transform FFT can be used to convert the time domain broadband signal into a frequency domain signal.

[0075] After the frequency domain signal is obtained, the signal-to-noise ratio may be calculated based on the obtained frequency domain signal, and a time domain bandwidth signal corresponding to the frequency domain signal that meets the signal-to-noise ratio requirement may be selected from all the frequency domain signals.

[0076] The signal-to-noise ratio is the ratio of the strength of the received useful signal to the strength of the received interference signal. The signal-to-noise ratio requirement is pre-set, such as setting a signal-to-noise ratio threshold. After obtaining the frequency domain signals corresponding to each time domain broadband signal, the signal-to-noise ratio corresponding to each frequency domain signal is determined, and the signal-to-noise ratio corresponding to each frequency domain signal is compared with the signal-to-noise ratio threshold. If the signal-to-noise ratio threshold is met, it can be determined that the frequency domain signal meets the signal-to-noise ratio requirement. At this time, the frequency and bandwidth information of the time domain broadband signal corresponding to the frequency domain signal can be determined.

[0077] That is, a time domain broadband signal that meets the requirements is selected from the multiple time domain broadband signals collected, and the frequency and bandwidth information corresponding to the time domain broadband signal that meets the requirements is determined. For example, it is determined that the first time domain broadband signal meets the requirements. The first time domain broadband signal is obtained by collecting the preset frequency point 2420M through the RF transceiver. Each frequency point can cover data within the bandwidth range of ±28M. It can be determined that the bandwidth corresponding to the first time domain broadband signal is 2392M-2448M, and its corresponding frequency is 2.4GHz.

[0078] After obtaining the frequency and bandwidth information of the time domain broadband signal that meets the signal-to-noise ratio requirement, the time domain broadband signal that meets the signal-to-noise ratio requirement is processed to obtain a preamble sequence.

[0079] Specifically, the time-domain broadband signal can be channelized based on the frequency and bandwidth information of the time-domain broadband signal that meets the signal-to-noise ratio requirements to obtain corresponding baseband data streams; autocorrelation processing is performed on the obtained baseband data streams to obtain autocorrelation results, and correlation peak information in the autocorrelation results is determined; and the leading sequence is determined based on the correlation peak information.

[0080] Channelization processing is to perform frequency conversion, filtering, downsampling and other processing on the time-domain broadband signal that meets the signal-to-noise ratio requirements to output a baseband IQ signal, that is, a baseband data stream, wherein the center frequency of the baseband IQ signal is at frequency 0. Channelization processing is performed on the time-domain broadband signal according to the frequency and bandwidth information of the time-domain broadband signal, that is, a channel division strategy is determined according to the frequency and bandwidth information of each time-domain broadband signal, and the time-domain broadband signal is channelized based on the channel division strategy to determine the baseband data stream corresponding to each time-domain broadband signal that meets the signal-to-noise ratio requirements.

[0081] After obtaining the baseband data streams corresponding to each time-domain broadband signal that meets the signal-to-noise ratio requirements, the baseband data streams can be autocorrelated to determine the correlation peak information. Autocorrelation is the correlation between a signal and itself at different time offsets, reflecting the similarity of the signals at different time points, and is obtained by calculating the expected value of the product of the signal at different offsets or delays.

[0082] The autocorrelation processing of the baseband data stream may specifically include: performing delayed autocorrelation processing on the baseband data stream, that is, correlation between the signal and itself at different time delays.

[0083] In the calculation process of delayed autocorrelation, when the time delay is equal to the period of the periodic component of the signal, the correlation reaches a maximum value. This maximum value is called the correlation peak. The appearance of the correlation peak indicates the presence of periodic components in the signal.

[0084] It should be noted that the communication signals of drones are all burst transmissions. For such burst transmission signals, there are leading sequences in the signal structure, and the leading sequences are some repeated signals, that is, they are periodic, such as: the STF (short training field) signal and LTF (long training field) signal of the wifi signal. Therefore, for the leading sequence in the communication signal output by the drone, after autocorrelation processing, the correlation peak information can be obtained. Based on the correlation peak information, the starting position of the repeated signal can be determined, and thus the leading sequence can be determined.

[0085] Pre-stored are leading sequences corresponding to multiple types of drones, such as: the leading sequence of the communication signal output by the first type of drone is the first leading sequence, the leading sequence of the communication signal output by the second type of drone is the second leading sequence, and the leading sequence of the communication signal output by the third type of drone is the third leading sequence.

[0086] After determining the leading sequence based on the correlation peak information, the determined leading sequence can also be compared with multiple pre-stored leading sequences. For example, when it is determined that the detected leading sequence is consistent with the second leading sequence, it can be determined that the drone outputting the leading sequence is a second type of drone.

[0087] Furthermore, after determining the type of drone based on the leading sequence, it is necessary to further determine the interference signal that matches the type of drone corresponding to the leading sequence.

[0088] That is: determine whether the drone type corresponding to the leading sequence matches the target interference data in the pre-stored interference data, and the target interference data includes: target interference signal and target interference parameters; output the target interference signal according to the target interference parameters to interfere with the output of the communication signal by the drone that outputs the leading sequence.

[0089] Matching interference data is stored in advance for each type of drone, such as: the first type of drone corresponds to the first interference data, the second type of drone corresponds to the second interference data, and the third type of drone corresponds to the third interference data. Each interference data includes an interference signal and interference parameters, which are used to interfere with the corresponding type of drone to prevent the corresponding type of drone from communicating.

[0090] After determining the drone type corresponding to the leading sequence, the target interference data corresponding to the drone type can be searched, and the target interference signal can be output according to the target interference data, that is, the target interference signal can be output according to the target interference parameters, where the target interference parameters can be the signal transmission intensity and time of the target interference signal.

[0091] The drone jamming method disclosed in the present embodiment collects a time domain broadband signal at each preset frequency point in a plurality of preset frequency points, wherein the frequency ranges at which the collected plurality of time domain broadband signals are located can cover the width of the frequency band after being combined; each of the plurality of time domain broadband signals is converted into a frequency domain signal respectively; a time domain broadband signal that meets the signal-to-noise ratio requirement is determined based on the frequency domain signal, and the frequency and bandwidth information of the time domain broadband signal that meets the signal-to-noise ratio requirement is determined; the time domain broadband signal is processed based on the frequency and bandwidth information of the time domain broadband signal that meets the signal-to-noise ratio requirement to determine a leading sequence; an interference signal matching the drone type corresponding to the leading sequence is determined, and the interference signal is output to interfere with the output of the communication signal by the drone that outputs the leading sequence. After collecting the time-domain broadband signal at each preset frequency point, this scheme first converts the time-domain broadband signal into a frequency-domain signal, and then determines the signal-to-noise ratio based on the frequency-domain signal to determine the frequency and bandwidth information of the time-domain broadband signal that meets the signal-to-noise ratio requirement, and accurately determines the preamble sequence based on this. The accurate calculation of the preamble sequence is achieved through calculation, which ensures the interference of the effective signal in the communication signal output by the drone, improves the interference efficiency, and ensures the accuracy of the interference.

[0092] This embodiment discloses a method for interfering with a drone, and its flow chart is as follows: Figure 3 As shown, including:

[0093] Step S31, collecting a time domain broadband signal at each preset frequency point in a plurality of preset frequency points, wherein the frequency ranges at which the collected plurality of time domain broadband signals are located are combined to cover the width of the frequency band;

[0094] Step S32, converting each of the multiple time-domain broadband signals into a frequency-domain signal;

[0095] Step S33, performing low-pass filtering on the frequency domain signal to obtain a low-frequency frequency domain signal; determining the frequency and bandwidth information of each low-frequency frequency domain signal;

[0096] Step S34, determining the signal-to-noise ratio of each low-frequency frequency domain signal based on the frequency and bandwidth information;

[0097] Step S35, comparing the signal-to-noise ratio with a target threshold corresponding to the signal-to-noise ratio requirement, determining a time-domain broadband signal that meets the signal-to-noise ratio requirement, and determining frequency and bandwidth information of the time-domain broadband signal that meets the signal-to-noise ratio requirement;

[0098] Step S36, processing the time domain broadband signal based on the frequency and bandwidth information that meets the signal-to-noise ratio requirement to determine a sign-in sequence;

[0099] Step S37: determine an interference signal that matches the drone type corresponding to the leading sequence, and output the interference signal to interfere with the output of the communication signal by the drone that outputs the leading sequence.

[0100] To interfere with the communication signal of a drone, when the drone starts to output the communication signal, all signals within the frequency band bandwidth are collected to determine whether there is a leading sequence of the communication signal output by the drone within the frequency band bandwidth. The leading sequence is then analyzed to determine the type of drone that outputs the leading sequence, and based on the type of drone, an interference signal that matches the type of drone is determined. The interference signal is output to ensure that when the drone outputs a valid signal in the communication signal, the interference signal can interfere with it, thereby avoiding the transmission of its valid signal.

[0101] The leading sequence can be determined by: when the target condition is met, the time domain broadband signal collected at each preset frequency point position in the multiple preset frequency points covering the frequency bandwidth range is processed to determine the leading sequence. Wherein, meeting the target condition can be: collecting signals at the preset frequency point position, when the signals at the preset frequency points of the target number are collected, it can be determined that the target condition is met, and the target number can be: 2048, that is, every time the signals of 2048 preset frequency points are collected, the collected signals are processed once to determine the leading sequence; or, the target number can also be 1024 or 4096, etc., and the data is only used for illustration here.

[0102] To process the time domain broadband signal, each time domain broadband signal can be first converted into a frequency domain signal using Fourier transform FFT, and then the frequency domain signal can be low-pass filtered, that is, the frequency domain signal is passed through a low-pass filter to suppress or attenuate the transmission of high-frequency signals. For example, the low-pass filter can select a low-pass filter with a normalized cutoff frequency of 0.01 to filter out high-frequency interference signals.

[0103] After each frequency domain signal is processed by low-pass filtering, a low-frequency frequency domain signal can be obtained. Based on the low-frequency frequency domain signal, the frequency and bandwidth signal of each low-frequency frequency domain signal can be obtained, such as being determined by the envelope of the spectrum.

[0104] Specifically, determine the spectrum envelope of the low-frequency frequency domain signal, determine the rising edge and falling edge of the spectrum envelope of the low-frequency frequency domain signal; determine the frequency and bandwidth information of each low-frequency frequency domain signal based on the rising edge and falling edge of the spectrum envelope.

[0105] The spectrum envelope is a curve used in spectrum analysis to describe the trend of signal power changing with frequency. To draw the spectrum envelope, the signal must first be Fourier transformed to obtain the spectrum graph of the signal, and the peak points of each frequency component are found on the spectrum graph. These peak points are connected with a smooth curve to obtain the spectrum envelope. The rising edge of the spectrum envelope is the part of the spectrum envelope where the signal power increases with the increase of frequency, and the falling edge of the spectrum envelope is the part of the spectrum envelope where the signal power decreases with the increase of frequency.

[0106] After the spectrum envelope of the low-frequency frequency domain signal is determined, the rising edge and the falling edge of the spectrum envelope can be directly determined through the curve graph of the spectrum envelope, or the rising edge and the falling edge of the spectrum envelope can be determined by performing a triple difference operation on the signal.

[0107] After determining the rising edge and falling edge of the spectrum envelope, the frequency and bandwidth information of the low-frequency frequency domain signal can be directly determined. After determining the rising edge and falling edge of the spectrum envelope, the left and right boundaries of each envelope in the spectrum envelope, that is, the rising edge and falling edge of each envelope, can be determined. The bandwidth of the low-frequency frequency domain signal can be determined by taking the difference between the frequencies corresponding to the boundaries on both sides. The frequency corresponding to the exact center position of the two sides of the boundary is the center frequency, that is, the frequency of the low-frequency frequency domain signal, thereby determining the frequency and bandwidth information of the low-frequency frequency domain signal.

[0108] After determining the frequency and bandwidth information of the low-frequency frequency domain signal, the signal-to-noise ratio of the low-frequency frequency domain signal can be determined. Specifically, the in-band power and out-of-band power of each low-frequency frequency domain signal are determined based on the frequency and bandwidth information of each low-frequency frequency domain signal; the signal-to-noise ratio of each low-frequency frequency domain signal is determined based on the in-band power and out-of-band power.

[0109] In-band power refers to the average power of a signal within its specified bandwidth; out-band power refers to the power of a signal outside its specified bandwidth. In this embodiment, the in-band power is the power of a low-frequency frequency domain signal within its bandwidth, and the out-band power is the power of a low-frequency frequency domain signal within a certain range outside its bandwidth. The certain range can be: ±0.5M range.

[0110] The signal-to-noise ratio of each low-frequency frequency domain signal is determined based on the in-band power and the out-band power. After the signal-to-noise ratio is obtained, it is necessary to compare the obtained signal-to-noise ratio with the target threshold corresponding to the signal-to-noise ratio requirement to determine the time-domain broadband signal that meets the signal-to-noise ratio requirement, wherein the target threshold corresponding to the signal-to-noise ratio requirement can be determined according to the actual test situation, such as: 2.5. Of course, the target threshold can also be other values, which are not specifically limited here.

[0111] The drone jamming method disclosed in the present embodiment collects a time domain broadband signal at each preset frequency point in a plurality of preset frequency points, wherein the frequency ranges at which the collected plurality of time domain broadband signals are located can cover the width of the frequency band after being combined; converts each of the plurality of time domain broadband signals into a frequency domain signal respectively; performs low-pass filtering on the frequency domain signal to obtain a low-frequency frequency domain signal; determines the frequency and bandwidth information of each low-frequency frequency domain signal; determines the signal-to-noise ratio of each low-frequency frequency domain signal based on the frequency and bandwidth information; compares the signal-to-noise ratio with a target threshold corresponding to the signal-to-noise ratio requirement to determine a time domain broadband signal that meets the signal-to-noise ratio requirement, and determines the frequency and bandwidth information of the time domain broadband signal that meets the signal-to-noise ratio requirement; processes the time domain broadband signal based on the frequency and bandwidth information that meets the signal-to-noise ratio requirement to determine a check-in sequence; determines an interference signal that matches the drone type corresponding to the leading sequence, and outputs the interference signal to interfere with the output of the communication signal by the drone that outputs the leading sequence. After collecting the time-domain broadband signal at each preset frequency point, this scheme first converts the time-domain broadband signal into a frequency-domain signal, and then determines the signal-to-noise ratio based on the frequency-domain signal to determine the frequency and bandwidth information of the time-domain broadband signal that meets the signal-to-noise ratio requirement, and accurately determines the preamble sequence based on this. The accurate calculation of the preamble sequence is achieved through calculation, which ensures the interference of the effective signal in the communication signal output by the drone, improves the interference efficiency, and ensures the accuracy of the interference.

[0112] This embodiment discloses a UAV jamming system, and its structural diagram is shown in FIG. Figure 4 As shown, including:

[0113] A collection unit 41 , a determination unit 42 and an interference unit 43 .

[0114] The acquisition unit 41 is used to acquire a time domain broadband signal at each preset frequency point in a plurality of preset frequency points, wherein the frequency ranges of the acquired plurality of time domain broadband signals are combined to cover the width of the frequency band;

[0115] The determination unit 42 is used to determine a preamble sequence based on a plurality of time domain broadband signals, wherein the preamble sequence is located at a starting position of a communication signal output by the drone, and different types of drones output different preamble sequences;

[0116] The interference unit 43 is used to determine an interference signal that matches the drone type corresponding to the preamble sequence, and output the interference signal to interfere with the output of the communication signal by the drone that outputs the preamble sequence.

[0117] Furthermore, the determination unit is used to:

[0118] Each of the multiple time-domain broadband signals is converted into a frequency-domain signal respectively; a time-domain broadband signal that meets the signal-to-noise ratio requirement is determined based on the frequency-domain signal, and frequency and bandwidth information of the time-domain broadband signal that meets the signal-to-noise ratio requirement is determined; and the time-domain broadband signal is processed based on the frequency and bandwidth information of the time-domain broadband signal that meets the signal-to-noise ratio requirement to determine a leading sequence.

[0119] Furthermore, the determination unit is used to:

[0120] Based on the frequency and bandwidth information of the time-domain broadband signal that meets the signal-to-noise ratio requirement, the time-domain broadband signal is channelized to obtain corresponding baseband data streams; autocorrelation processing is performed on the obtained baseband data stream to obtain autocorrelation results, and correlation peak information in the autocorrelation results is determined; and a leading sequence is determined based on the correlation peak information.

[0121] Furthermore, the determination unit is used to:

[0122] Perform low-pass filtering on the frequency domain signal to obtain a low-frequency frequency domain signal; determine the frequency and bandwidth information of each low-frequency frequency domain signal; determine the signal-to-noise ratio of each low-frequency frequency domain signal based on the frequency and bandwidth information; compare the signal-to-noise ratio with the target threshold corresponding to the signal-to-noise ratio requirement to determine a time domain broadband signal that meets the signal-to-noise ratio requirement.

[0123] Furthermore, the determination unit is used to:

[0124] Determine the spectrum envelope of the low-frequency frequency domain signal; determine the rising edge and falling edge of the spectrum envelope of the low-frequency frequency domain signal; determine the frequency and bandwidth information of each low-frequency frequency domain signal based on the rising edge and falling edge of the spectrum envelope.

[0125] Furthermore, the determination unit is used to:

[0126] The in-band power and out-band power of each low-frequency frequency domain signal are determined based on the frequency and bandwidth information of each low-frequency frequency domain signal; and the signal-to-noise ratio of each low-frequency frequency domain signal is determined based on the in-band power and out-band power.

[0127] Furthermore, the interference unit is used to:

[0128] Determine whether the drone type corresponding to the leading sequence matches the target interference data in the pre-stored interference data, where the target interference data includes: a target interference signal and a target interference parameter; output the target interference signal according to the target interference parameter to interfere with the output of the communication signal by the drone that outputs the leading sequence.

[0129] Furthermore, the determination unit is used to:

[0130] When it is determined that a target number of time-domain broadband signals at preset frequency point positions are collected, each of the multiple time-domain broadband signals is converted into a frequency-domain signal.

[0131] The drone jamming system disclosed in this embodiment is implemented based on the drone jamming method disclosed in the above embodiment, which will not be described in detail here.

[0132] The UAV jamming system disclosed in this embodiment collects a time domain broadband signal at each preset frequency point position in a plurality of preset frequency points, wherein the frequency ranges of the collected multiple time domain broadband signals are combined to cover the width of the frequency band; determines a preamble sequence based on the multiple time domain broadband signals, wherein the preamble sequence is located at the starting position of the communication signal output by the UAV, and the preamble sequences output by different types of UAVs are different; determines an interference signal matching the type of UAV corresponding to the preamble sequence, and outputs an interference signal to interfere with the output of the communication signal by the UAV outputting the preamble sequence. This scheme first collects a time domain broadband signal, and when determining the preamble sequence of the communication signal output by the UAV based on the time domain broadband signal, outputs an interference signal matching the type of UAV corresponding to the preamble sequence to achieve the purpose of jamming the UAV, and by analyzing the preamble sequence, achieves precise jamming of the subsequent communication signals of the UAV, and its jamming range is small, and will not affect other communication signals, thereby reducing the power generated by jamming the UAV and improving the jamming efficiency.

[0133] This embodiment discloses an electronic device, and its structural diagram is as follows: Figure 5 As shown, including:

[0134] A radio frequency transceiver 51 and a processor 52 .

[0135] The RF transceiver 51 is used to collect a time domain broadband signal at each preset frequency point in a plurality of preset frequency points, and output an interference signal; wherein the frequency ranges of the collected plurality of time domain broadband signals are combined to cover the width of the frequency band;

[0136] The processor 52 is used to determine a preamble sequence based on multiple time-domain broadband signals, wherein the preamble sequence is located at the starting position of the communication signal output by the UAV, and different types of UAVs output different preamble sequences; determine an interference signal that matches the type of UAV corresponding to the preamble sequence, and control the RF transceiver to output the interference signal to interfere with the output of the communication signal by the UAV that outputs the preamble sequence.

[0137] The electronic device disclosed in this embodiment is implemented based on the drone interference method disclosed in the above embodiment, which will not be described in detail here.

[0138] The electronic device disclosed in this embodiment collects a time domain broadband signal at each preset frequency point in a plurality of preset frequency points, wherein the frequency ranges of the collected multiple time domain broadband signals are combined to cover the width of the frequency band; determines a preamble sequence based on the multiple time domain broadband signals, wherein the preamble sequence is located at the starting position of the communication signal output by the drone, and the preamble sequences output by different types of drones are different; determines an interference signal that matches the type of drone corresponding to the preamble sequence, and outputs an interference signal to interfere with the output of the communication signal by the drone that outputs the preamble sequence. This scheme first collects a time domain broadband signal, and when determining the preamble sequence of the communication signal output by the drone based on the time domain broadband signal, outputs an interference signal that matches the type of drone corresponding to the preamble sequence to achieve the purpose of interfering with the drone, and by analyzing the preamble sequence, achieves precise interference with the subsequent communication signal of the drone, and its interference range is small, and will not affect other communication signals, thereby reducing the power generated by interfering with the drone and improving the interference efficiency.

[0139] It should also be noted that the device embodiments described above are merely schematic, wherein the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or they may be distributed over multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the scheme of this embodiment. In addition, in the drawings of the device embodiments provided by the present application, the connection relationship between the modules indicates that there is a communication connection between them, which may be specifically implemented as one or more communication buses or signal lines.

[0140] Through the description of the above implementation mode, the technicians in the field can clearly understand that the present application can be implemented by means of software plus necessary general hardware, and of course, it can also be implemented by special hardware including special integrated circuits, special CPUs, special memories, special components, etc. In general, all functions completed by computer programs can be easily implemented by corresponding hardware, and the specific hardware structure used to implement the same function can also be various, such as analog circuits, digital circuits or special circuits. However, for the present application, software program implementation is a better implementation mode in more cases. Based on such an understanding, the technical solution of the present application is essentially or the part that contributes to the prior art can be embodied in the form of a software product, which is stored in a readable storage medium, such as a computer floppy disk, a U disk, a mobile hard disk, a ROM, a RAM, a disk or an optical disk, etc., including a number of instructions to enable a computer device (which can be a personal computer, a training device, or a network device, etc.) to execute the methods described in each embodiment of the present application.

[0141] In the above embodiments, all or part of the embodiments may be implemented by software, hardware, firmware or any combination thereof. When implemented by software, all or part of the embodiments may be implemented in the form of a computer program product.

[0142] The computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on a computer, the process or function described in the embodiment of the present application is generated in whole or in part. The computer may be a general-purpose computer, a special-purpose computer, a computer network, or other programmable devices. The computer instructions may be stored in a computer-readable storage medium, or transmitted from one computer-readable storage medium to another computer-readable storage medium. For example, the computer instructions may be transmitted from a website site, a computer, a training device, or a data center by wired (e.g., coaxial cable, optical fiber, digital subscriber line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.) mode to another website site, computer, training device, or data center. The computer-readable storage medium may be any available medium that a computer can store or a data storage device such as a training device, a data center, etc. that includes one or more available media integrations. The available medium may be a magnetic medium, (e.g., a floppy disk, a hard disk, a tape), an optical medium (e.g., a DVD), or a semiconductor medium (e.g., a solid-state drive (SSD)), etc.

Claims

1. A method for jamming a drone, characterized in that: include: Collecting a time domain broadband signal at each preset frequency point in a plurality of preset frequency points, wherein the frequency ranges at which the collected plurality of time domain broadband signals are located are combined to cover the width of the frequency band; Determine a preamble sequence based on multiple time-domain broadband signals, wherein the communication signal output by the drone includes: a preamble sequence and a valid signal, the preamble sequence is located at the starting position of the communication signal output by the drone, and different types of drones output different preamble sequences; Determine an interference signal that matches the type of drone corresponding to the preamble sequence, and output the interference signal before the drone outputs a valid signal of the communication signal to interfere with the output of the valid signal of the communication signal by the drone that outputs the preamble sequence; Among them, the determining of the interference signal that matches the type of drone corresponding to the leading sequence and outputting the interference signal includes: determining that the type of drone corresponding to the leading sequence matches the target interference data in the pre-stored interference data, and the target interference data includes: a target interference signal and a target interference parameter; outputting the target interference signal according to the target interference parameter to interfere with the output of the effective signal of the communication signal by the drone that outputs the leading sequence.

2. The method according to claim 1, characterized in that The determining of the preamble sequence based on multiple time domain broadband signals comprises: Convert each of the multiple time-domain wideband signals into a frequency-domain signal; Determine a time domain broadband signal that meets the signal-to-noise ratio requirement based on the frequency domain signal, and determine frequency and bandwidth information of the time domain broadband signal that meets the signal-to-noise ratio requirement; The time domain wideband signal is processed based on the frequency and bandwidth information of the time domain wideband signal that meets the signal-to-noise ratio requirement to determine a preamble sequence.

3. The method according to claim 2, characterized in that The processing of the time domain wideband signal based on the frequency and bandwidth information of the time domain wideband signal that meets the signal-to-noise ratio requirement to determine the preamble sequence includes: Channelize the time-domain broadband signal based on the frequency and bandwidth information of the time-domain broadband signal that meets the signal-to-noise ratio requirement to obtain corresponding baseband data streams respectively; Performing autocorrelation processing on the obtained baseband data stream to obtain an autocorrelation result, and determining correlation peak information in the autocorrelation result; The preamble sequence is determined based on the correlation peak information.

4. The method according to claim 2, characterized in that: The determining, based on the frequency domain signal, a time domain broadband signal that meets the signal-to-noise ratio requirement comprises: Performing low-pass filtering on the frequency domain signal to obtain a low-frequency frequency domain signal; Determining frequency and bandwidth information of each of the low-frequency frequency domain signals; Determine a signal-to-noise ratio of each of the low-frequency frequency domain signals based on the frequency and bandwidth information; The signal-to-noise ratio is compared with a target threshold corresponding to the signal-to-noise ratio requirement to determine a time-domain wideband signal that meets the signal-to-noise ratio requirement.

5. The method according to claim 4, characterized in that The determining of the frequency and bandwidth information of each of the low-frequency frequency domain signals comprises: Determining a frequency spectrum envelope of the low-frequency frequency domain signal; Determine the rising edge and the falling edge of the spectrum envelope of the low-frequency frequency domain signal; The frequency and bandwidth information of each of the low-frequency frequency domain signals is determined based on the rising edge and the falling edge of the spectrum envelope.

6. The method according to claim 4, characterized in that The determining the signal-to-noise ratio of each of the low-frequency frequency domain signals based on the frequency and bandwidth information includes: Determine the in-band power and out-of-band power of each of the low-frequency frequency domain signals based on the frequency and bandwidth information of each of the low-frequency frequency domain signals; A signal-to-noise ratio of each of the low-frequency frequency domain signals is determined based on the in-band power and the out-of-band power.

7. The method according to claim 2, characterized in that: The converting each of the multiple time-domain wideband signals into a frequency-domain signal comprises: When it is determined that a target number of time-domain broadband signals at preset frequency points are collected, each of the multiple time-domain broadband signals is converted into a frequency-domain signal.

8. A drone jamming system, characterized in that: include: A collection unit, used for collecting a time domain broadband signal at each preset frequency point of a plurality of preset frequency points, wherein the frequency ranges of the collected plurality of time domain broadband signals are combined to cover the width of the frequency band; A determination unit, configured to determine a preamble sequence based on a plurality of time-domain broadband signals, wherein the communication signal output by the drone comprises: a preamble sequence and a valid signal, the preamble sequence is located at a starting position of the communication signal output by the drone, and different types of drones output different preamble sequences; An interference unit is used to determine an interference signal matching the type of drone corresponding to the preamble sequence, and output the interference signal before the drone outputs a valid signal of the communication signal, so as to interfere with the output of the valid signal of the communication signal by the drone outputting the preamble sequence; Among them, the interference unit is used to: determine whether the type of drone corresponding to the leading sequence matches the target interference data in the pre-stored interference data, and the target interference data includes: a target interference signal and a target interference parameter; output the target interference signal according to the target interference parameter to interfere with the output of the effective signal of the communication signal by the drone that outputs the leading sequence.

9. An electronic device, characterized in that: include: A radio frequency transceiver, used to collect a time domain broadband signal at each preset frequency point in a plurality of preset frequency points, and output an interference signal; wherein the frequency ranges of the collected plurality of time domain broadband signals are combined to cover the width of the frequency band; A processor is used to determine a preamble sequence based on multiple time-domain broadband signals, wherein the communication signal output by the drone includes: a preamble sequence and a valid signal, the preamble sequence is located at the starting position of the communication signal output by the drone, and different types of drones output different preamble sequences; determine an interference signal matching the drone type corresponding to the preamble sequence, and before the drone outputs the valid signal of the communication signal, control the radio frequency transceiver to output the interference signal to interfere with the output of the valid signal of the communication signal by the drone outputting the preamble sequence; Among them, the processor determines the interference signal that matches the drone type corresponding to the leading sequence and outputs the interference signal, including: determining that the drone type corresponding to the leading sequence matches the target interference data in the pre-stored interference data, and the target interference data includes: target interference signal and target interference parameters; outputting the target interference signal according to the target interference parameters to interfere with the output of the effective signal of the communication signal by the drone that outputs the leading sequence.

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