Software radio based unmanned aerial vehicle jamming suppression deception system and method

Abstract

The application relates to an unmanned aerial vehicle jamming suppression decoy system and method based on a software radio, and relates to the field of unmanned aerial vehicle countermeasures, in particular to an unmanned aerial vehicle jamming suppression decoy system and method based on a software radio. The application aims to solve the problem that the prior art cannot accurately interfere with and decoy unmanned aerial vehicle targets. The system comprises a host computer, a software radio device, a power amplifier, an antenna assembly and a cloud server; the host computer is used for issuing unmanned aerial vehicle target reconnaissance instructions, unmanned aerial vehicle suppression interference instructions and unmanned aerial vehicle decoy instructions; the receiving end of the software radio device is used for receiving the unmanned aerial vehicle target reconnaissance instructions issued by the host computer, and performing unmanned aerial vehicle target reconnaissance on the radio signals received by the antenna assembly; the transmitting end of the software radio device is used for receiving the unmanned aerial vehicle target suppression interference and decoy instructions issued by the host computer, and transmitting radio signals through the antenna assembly to perform unmanned aerial vehicle suppression interference and decoy on the target unmanned aerial vehicle.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of unmanned aerial vehicle countermeasures, in particular to an unmanned aerial vehicle jamming suppression deception system and method based on software radio. BACKGROUND

[0002] In recent years, with the increasing maturity and rapid development of unmanned aerial vehicle technology, unmanned aerial vehicles have been widely developed in many fields such as military and civilian use. However, behind the large-scale popularization of unmanned aerial vehicles is the lack of effective regulation of unmanned aerial vehicles, and the rampant "black flight" and "abuse of flight" events pose a serious threat to low-altitude airspace safety and seriously endanger national, social and people's life and property safety. Therefore, the research and development of unmanned aerial vehicle passive detection and jamming suppression systems have received high attention, and effective deception or jamming means are urgently needed to solve the safety challenges brought about by the rampant unmanned aerial vehicles.

[0003] The unmanned aerial vehicle radio suppression jamming system usually takes into account both unmanned aerial vehicle reconnaissance and radio countermeasures, thereby forming a reconnaissance and attack integrated system. The existing technology often interferes with a large range of frequency bands, has few jamming frequency bands, and the transmission power is not easy to adjust. The generated signal type is fixed, the degree of customization is low, it easily affects the surrounding electromagnetic environment, and it is difficult to accurately jam and deceive the unmanned aerial vehicle target. SUMMARY

[0004] The purpose of the present application is to solve the problem that the existing technology often interferes with a large range of frequency bands, has few jamming frequency bands, and the transmission power is not easy to adjust. The generated signal type is fixed, the degree of customization is low, it easily affects the surrounding electromagnetic environment, and it is difficult to accurately jam and deceive the unmanned aerial vehicle target. A kind of unmanned aerial vehicle jamming suppression deception system and method based on software radio are proposed.

[0005] An unmanned aerial vehicle jamming suppression deception system based on software radio comprises a host computer, a software radio device, a power amplifier, an antenna assembly and a cloud server.

[0006] The host computer communicates with the cloud server through a network port to realize automatic value guard or human intervention remote control.

[0007] The host computer communicates with the software radio device through a network port, and the host computer is used to issue unmanned aerial vehicle target reconnaissance instructions, judge whether the unmanned aerial vehicle in the reconnaissance result is a registered unmanned aerial vehicle, if yes, continue to issue unmanned aerial vehicle target reconnaissance instructions, if not, issue unmanned aerial vehicle suppression jamming and deception instructions.

[0008] The receiving end of the software radio device is used to receive the unmanned aerial vehicle target reconnaissance instructions issued by the host computer, and the antenna assembly receives the radio signals and performs unmanned aerial vehicle target reconnaissance. The reconnaissance result is transmitted to the host computer through a network port.

[0009] The transmitting end of the software radio device is used for receiving the unmanned aerial vehicle target suppression jamming instruction issued by the host computer, transmitting radio signals through the antenna assembly to execute unmanned aerial vehicle suppression jamming on the target unmanned aerial vehicle, and transmitting the suppression jamming result to the host computer through the network port;

[0010] The transmitting end of the software radio device is used for receiving the unmanned aerial vehicle target deception instruction issued by the host computer, transmitting radio signals through the antenna assembly to execute unmanned aerial vehicle deception on the target unmanned aerial vehicle, and transmitting the deception result to the host computer through the network port;

[0011] The power amplifier is used for fixed gain amplification of radio signals of different powers transmitted by the transmitting end of the software radio device;

[0012] The antenna assembly is used for receiving and transmitting various radio signals;

[0013] The cloud server is used for recording various work logs and providing a manual remote control interface.

[0014] A software radio-based unmanned aerial vehicle jamming suppression deception method includes the following steps:

[0015] Step 1: The host computer communicates with the software radio device through the network port, and the host computer issues the unmanned aerial vehicle target reconnaissance instruction, and the receiving end of the software radio device receives the unmanned aerial vehicle target reconnaissance instruction issued by the host computer, and executes the unmanned aerial vehicle target reconnaissance on the radio signals received by the antenna assembly; the specific process is as follows:

[0016] The receiving end of the software radio device receives the unmanned aerial vehicle target reconnaissance instruction issued by the host computer;

[0017] The software radio device generates an electromagnetic spectrum by continuously sweeping frequency within 70MHz to 6.0GHz through the antenna assembly;

[0018] A first threshold value and a second threshold value are set, and the second threshold value is lower than the first threshold value;

[0019] A narrowest bandwidth threshold value is set;

[0020] The frequency points of the electromagnetic spectrum generated by the frequency sweeping whose spectrum energy is greater than or equal to the first threshold value are determined as the determined unmanned aerial vehicle frequency points H1, and are sent to the host computer through the network port;

[0021] The frequency points of the electromagnetic spectrum generated by the frequency sweeping whose spectrum energy is greater than or equal to the second threshold value and less than the first threshold value are regarded as possible unmanned aerial vehicle frequency points H2, and are sent to the host computer through the network port;

[0022] The frequency points of the electromagnetic spectrum generated by the frequency sweeping whose spectrum energy is less than the second threshold value are regarded as noise frequency points H3, and are sent to the host computer through the network port;

[0023] The length of each connected domain interval of the unmanned aerial vehicle frequency points H1 and H2 is calculated, the bandwidth occupied by the length of each connected domain interval is determined, the frequency points in the interval with a bandwidth less than the narrowest bandwidth threshold are divided into noise frequency points H3, and the frequency points in the interval with a bandwidth greater than or equal to the narrowest bandwidth threshold are processed unmanned aerial vehicle frequency points H1 and H2.

[0024] In step two, the host computer judges whether the unmanned aerial vehicle frequency point H1 is registered, if yes, the unmanned aerial vehicle target reconnaissance is continued, and if no, the unmanned aerial vehicle is a jamming unmanned aerial vehicle, and steps three and four are executed.

[0025] In step two, the host computer judges whether the unmanned aerial vehicle frequency point H1 is registered, if yes, the unmanned aerial vehicle target reconnaissance is continued, and if no, the unmanned aerial vehicle is a jamming unmanned aerial vehicle, and steps three and four are executed.

[0026] In step three, the H1 frequency point density clustering is performed to obtain the frequency hopping signal range of the determined unmanned aerial vehicle.

[0027] In step three, the H1 frequency point density clustering is performed to obtain the frequency hopping signal range of the determined unmanned aerial vehicle.

[0028] In step three, the H1 frequency point density clustering is performed to obtain the frequency hopping signal range of the determined unmanned aerial vehicle.

[0029] In step four, the host computer sends a jamming unmanned aerial vehicle decoy instruction to the software radio device, the transmitting end of the software radio device receives the jamming unmanned aerial vehicle decoy instruction sent by the host computer, and the radio signal is transmitted through the antenna assembly to execute the decoy jamming on the target unmanned aerial vehicle, and the decoy result is transmitted to the host computer through the network port; after the decoy jamming reaches the preset time epsilon, step one is re-executed.

[0030] The beneficial effects of the present application are as follows:

[0031] Compared with the existing unmanned aerial vehicle jamming device, the present system is based on software radio and can realize the generation of multiple frequency band wide range sweep or self-defined frequency band range arbitrary type power adjustable signal within 47MHz to 6.0GHz, plan the jamming range by using data mining, accurately jam the unmanned aerial vehicle, reduce the interference to the surrounding electromagnetic environment, and the present system has strong expansibility and can realize automatic guard or manual remote online control through the network.

[0032] The present invention proposes a UAV interference suppression system based on software radio, which can realize large-scale frequency sweeping of multiple frequency bands within 47MHz to 6.0GHz or generate any type of power-adjustable signal in a custom frequency band range. The signal is amplified by a fixed-gain power amplifier, and the frequency points are collected based on a dual-threshold rule. The frequency point data is mined to accurately suppress multiple working frequency bands of the UAV. In addition, the system can switch the transmission power in multiple gears to reduce interference with the surrounding electromagnetic environment. Automatic guarding or manual remote online control can be achieved through the network, and the system has strong engineering application value.

[0033] 1. The present invention is based on a software radio platform and can customize the spectrum range to generate interference suppression signals or navigation decoy signals. When facing frequency hopping signals, data mining can be performed based on their frequency hopping frequencies to set the interference spectrum range, accurately suppressing drone targets. In addition, the interference signal type is variable and the transmission power is adjustable, which can meet the interference requirements of different conditions and degrees.

[0034] 2. The present invention can amplify the interference suppression and navigation deception signals to a maximum of 52dBm for transmission through a power amplifier, and pre-calibrate the power of each frequency band on the software radio equipment to improve the interference-through ratio and ensure the interference suppression and navigation deception effects.

[0035] 3. The present invention can interact with the cloud server through the network port. Users can remotely view the system operation log from the cloud server, and the cloud server can automatically monitor or remotely control the system through the network, modify program parameters online, select different programs to run, and perform over-the-air download technology OTA updates. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] Figure 1 It is a structural schematic diagram of the present invention;

[0037] Figure 2 This is the 5.8GHz frequency band sweep spectrum detection diagram of the present invention;

[0038] Figure 3 It is the workflow diagram of the present invention. DETAILED DESCRIPTION

[0039] Specific embodiment 1: This embodiment is a UAV jamming suppression and deception system based on software radio, including: a main control machine, a software radio device, a power amplifier, an antenna assembly and a cloud server;

[0040] The main control machine communicates with the cloud server through the network port to realize automatic duty or human intervention remote control;

[0041] The main control machine communicates with the software radio device through the network port, and is used to issue drone target reconnaissance instructions, determine whether the drone in the reconnaissance result is a registered drone, and if so, continue to issue drone target reconnaissance instructions; if not, issue drone suppression interference and drone deception instructions;

[0042] The receiving end of the software radio device is used to receive the UAV target reconnaissance command issued by the main control computer, perform UAV target reconnaissance on the radio signal received by the antenna component, and transmit the reconnaissance result to the main control computer through the network port;

[0043] The transmitting end of the software radio device is used to receive the UAV target suppression jamming command issued by the main control machine, transmit the radio signal through the antenna component to perform the UAV suppression jamming on the target UAV, and transmit the suppression jamming result to the main control machine through the network port;

[0044] The transmitting end of the software radio device is used to receive the drone target decoy instruction issued by the main control computer, transmit the radio signal through the antenna component to perform drone decoy on the target drone, and transmit the decoy result to the main control computer through the network port;

[0045] The power amplifier is used to amplify radio signals of different powers transmitted by the transmitting end of the software radio device with fixed gain;

[0046] The antenna assembly is used to receive and transmit various radio signals;

[0047] The cloud server is used to record various work logs, provide high computing power support and manual remote control interface.

[0048] Specific embodiment 2: This embodiment differs from specific embodiment 1 in that the receiving end of the software radio device is used to receive the drone target reconnaissance command issued by the host computer and perform drone target reconnaissance on the radio signal received by the antenna component; the specific process is as follows:

[0049] The receiving end of the software radio equipment receives the UAV target reconnaissance command issued by the host computer;

[0050] Multiple software radio devices simultaneously sweep the electromagnetic spectrum from 70 MHz to 6.0 GHz through antenna components (the electromagnetic spectrum includes more frequency points);

[0051] Setting a first threshold and a second threshold, wherein the second threshold is smaller than the first threshold;

[0052] Set the narrowest bandwidth threshold;

[0053] The frequency point where the spectrum energy of the electromagnetic spectrum generated by the frequency sweep is greater than or equal to the first threshold is determined as the drone frequency point H1, and is sent to the main control machine through the network port;

[0054] The frequency point of the spectrum energy of the electromagnetic spectrum generated by the sweep frequency greater than or equal to the second threshold value and less than the first threshold value is regarded as a possible drone frequency point H2, which is sent to the host computer through the network port;

[0055] The frequency point of the spectrum energy of the electromagnetic spectrum generated by the sweep frequency less than the second threshold value is regarded as a noise frequency point H3, which is sent to the host computer through the network port;

[0056] The length of the interval of each connected domain in the drone frequency points H1 and H2 is calculated, the bandwidth occupied by the length of each connected domain interval is determined (the length of the connected domain represents the bandwidth), the frequency points in the interval with a bandwidth less than the narrowest bandwidth threshold value are divided into noise frequency points H3, and the frequency points in the interval with a bandwidth greater than or equal to the narrowest bandwidth threshold value are processed drone frequency points H1 and H2.

[0057] Let the single spectrum situation awareness power spectrum P(n) be n=1,…,m, where n is the frequency point position and m is the total number of sampling frequency points;

[0058] α is the first threshold value, and β is the second threshold value, where α>β;

[0059] If the value of n in the sequence P(n) is greater than or equal to the first threshold value α, the value of n is recorded as a determined drone frequency point H1;

[0060] If the value of n is greater than or equal to the second threshold value β and less than the first threshold value α, the value of n is recorded as a possible drone frequency point H2;

[0061] Then, the frequency points in each connected domain of H1 and H2 that are less than the narrowest bandwidth preset value γ are classified as noise frequency points H3,

[0062] Finally, the remaining unclassified frequency points in the sequence P(n) are recorded as noise frequency points H3; α, β, and γ are preset values.

[0063] The other steps and parameters are the same as in the first embodiment.

[0064] The third embodiment is different from the first or second embodiment in that the transmitting end of the software radio device is used to receive the drone target suppression interference instruction issued by the host computer, transmit the radio signal through the antenna assembly to execute the drone suppression interference on the target drone, and transmit the suppression interference result to the host computer through the network port;

[0065] The specific process is as follows:

[0066] The transmitting end of the software radio device transmits the interference radio signal, which is emitted through the antenna assembly via the power amplifier, to perform the drone suppression interference on the target drone;

[0067] The drone suppression interference is divided into: wide range frequency band sweep interference, default frequency band key interference or custom frequency band accurate interference.

[0068] The wide range frequency band sweep interference refers to sweeping the signals in a wide range of frequency bands, which is suitable for covering the 400MHz, 800MHz, 1400MHz, 1500MHz, 2400MHz, 5200MHz, 5800MHz and other frequency bands used by the drone in the case of not knowing the specific frequency band of the target drone signal.

[0069] The default frequency band key interference refers to key interference on some known key communication frequency bands, such as the 840.5-845MHz, 1430-1444MHz, 2400-2476MHz and 5725-5829MHz application frequency bands of civil drones specified in the “Provisional Measures for the Management of Civil Drone Radio”.

[0070] The custom frequency band accurate interference refers to customizing one or more specific frequency bands for accurate interference according to the specific needs of the user or the specific characteristics of the target drone signal, which is usually used to interfere with the processed drone frequency points H1 and H2 to reduce electromagnetic pollution.

[0071] The interference radio signal type is divided into: linear frequency modulation signal, Gaussian white noise signal or custom orthogonal frequency division multiplexing signal.

[0072] The interference radio signal transmission power is divided into: high, medium-high, medium-low and low four levels.

[0073] High corresponds to a transmission power of 52dBm.

[0074] Medium-high corresponds to a transmission power of 50dBm.

[0075] Medium-low corresponds to a transmission power of 48dBm.

[0076] Low corresponds to a transmission power of 46dBm.

[0077] The transmission power of each frequency band is calibrated to improve the flatness of the transmission signal power, and information is fed back to the host computer while performing the interference suppression task.

[0078] The other steps and parameters are the same as those in the first or second embodiment.

[0079] The fourth embodiment is different from one of the first to third embodiments in that the transmission end of the software radio device is used to receive the target drone decoy instruction issued by the host computer, and the radio signal is transmitted through the antenna assembly to perform drone decoy on the target drone. The decoy result is transmitted to the host computer through the network port; the specific process is as follows:

[0080] When the master control machine issues a decoy command, it simulates and sends false navigation information according to the master control machine's command. The navigation information has the same frequency band as the real navigation signal, but the signal strength is greater than the real navigation signal (the real signal frequency band is the real frequency band of the drone receiving the navigation signal). The information is sent through the power amplifier and the antenna assembly, misleading the drone to fly to a preset position or land directly.

[0081] Other steps and parameters are the same as those in the first to third embodiments.

[0082] Specific embodiment 5: This embodiment differs from any one of specific embodiments 1 to 4 in that: the power amplifier is a fixed gain power amplifier, and the amplification operating range of the power amplifier covers and matches the frequency range of the signal transmitted by the corresponding software radio device;

[0083] The number of software radio devices is the same as the number of power amplifiers.

[0084] For example, if the frequency range of a radio device transmitting a signal is 2400-2500MHz, the corresponding power amplifier amplification operating range covers 2400-2500MHz;

[0085] The number of power amplifiers is the same as the number of transmit ports of the radio equipment;

[0086] The power amplifier amplifies the signal power to a maximum of 52dBm.

[0087] The other steps and parameters are the same as those in the first to fourth embodiments.

[0088] Specific embodiment 6: This embodiment differs from specific embodiments 1 to 5 in that: the antenna assembly comprises a receiving antenna and a transmitting antenna, both of which are omnidirectional antennas;

[0089] The receiving antenna is responsible for passively receiving various radio signals from the drone and transmitting them to the receiving end of the software radio device;

[0090] The transmitting antenna is connected to the output end of the power amplifier and is responsible for suppressing the interference after amplification by the power amplifier and transmitting the decoy signal.

[0091] The other steps and parameters are the same as those in the first to fifth embodiments.

[0092] Specific embodiment 7: This embodiment differs from any one of specific embodiments 1 to 6 in that: the UAV jamming suppression and deception system based on software defined radio further includes a network switching module;

[0093] The network switching module is responsible for the network cable connection between the main control machine and each software radio device.

[0094] Other steps and parameters are the same as one of the first to sixth embodiments.

[0095] Embodiment eight: the software radio-based UAV jamming suppression deception method includes the following steps:

[0096] Step one, the host computer communicates with the software radio device through the network port, and the host computer issues a UAV target reconnaissance instruction. The software radio device receives the UAV target reconnaissance instruction issued by the host computer, and performs UAV target reconnaissance on the radio signals received by the antenna assembly. The specific process is as follows:

[0097] The receiving end of the software radio device receives the UAV target reconnaissance instruction issued by the host computer;

[0098] The multiple software radio devices generate an electromagnetic spectrum (including more frequency points) through continuous frequency scanning within 70 MHz to 6.0 GHz through the antenna assembly;

[0099] Set a first threshold and a second threshold, the second threshold is lower than the first threshold;

[0100] Set the narrowest bandwidth threshold;

[0101] Determine the frequency point of the frequency spectrum energy of the electromagnetic spectrum generated by the frequency scanning as a certain UAV frequency point H1 if it is greater than or equal to the first threshold, and send it to the host computer through the network port;

[0102] The frequency point of the frequency spectrum energy of the electromagnetic spectrum generated by the frequency scanning is considered as a possible UAV frequency point H2 if it is greater than or equal to the second threshold and less than the first threshold, and is sent to the host computer through the network port;

[0103] The frequency point of the frequency spectrum energy of the electromagnetic spectrum generated by the frequency scanning is considered as a noise frequency point H3 if it is less than the second threshold, and is sent to the host computer through the network port;

[0104] Calculate the interval length of each connected domain in the UAV frequency points H1 and H2, determine the bandwidth occupied by the length of each connected domain interval (the length of the connected domain represents the bandwidth), and divide the frequency points in the interval with a bandwidth less than the narrowest bandwidth threshold into noise frequency points H3, and the frequency points in the interval with a bandwidth greater than or equal to the narrowest bandwidth threshold are the processed UAV frequency points H1 and H2;

[0105] Step two, the host computer judges whether the UAV frequency point H1 is registered, if yes, continue to perform UAV target reconnaissance; if not, the UAV is a jamming UAV, and steps three and four are performed;

[0106] The host computer judges whether the UAV frequency point H2 is registered, if yes, continue to perform UAV target reconnaissance; if not, the UAV is a jamming UAV, and steps three and four are performed;

[0107] Step three, clustering H1 frequency point density to obtain the frequency hopping signal range of the determined drone;

[0108] Clustering H2 frequency point density to obtain the frequency hopping signal range of the possible drone;

[0109] The host computer issues a drone suppression interference instruction to the software radio device based on the obtained frequency hopping signal range of the determined drone and the frequency hopping signal range of the possible drone, the transmitting end of the software radio device receives the drone target suppression interference instruction issued by the host computer, and executes the drone suppression interference on the target drone through the antenna assembly, and transmits the suppression interference result to the host computer through the network port; after the suppression interference reaches the preset time ε, step one is re-executed;

[0110] Step four, the host computer issues a drone decoy instruction to the software radio device, the transmitting end of the software radio device receives the drone decoy instruction issued by the host computer, and executes the decoy interference on the target drone through the antenna assembly, and transmits the decoy result to the host computer through the network port; after the decoy interference reaches the preset time ε, step one is re-executed.

[0111] Specific embodiment nine: the difference between this embodiment and specific embodiment eight is that in step three, H1 frequency point density is clustered to obtain the frequency hopping signal range of the determined drone;

[0112] H2 frequency point density is clustered to obtain the frequency hopping signal range of the possible drone;

[0113] The host computer issues a drone suppression interference instruction to the software radio device based on the obtained frequency hopping signal range of the determined drone and the frequency hopping signal range of the possible drone, the transmitting end of the software radio device receives the drone target suppression interference instruction issued by the host computer, and executes the drone suppression interference on the target drone through the antenna assembly, and transmits the suppression interference result to the host computer through the network port; after the suppression interference reaches the preset time ε, step one is re-executed;

[0114] The specific process is as follows:

[0115] The transmitting end of the software radio device transmits interference radio signals, which are emitted through the antenna assembly via the power amplifier, to perform drone suppression interference on the target drone;

[0116] Wherein, the drone suppression interference includes large-range frequency scanning interference, default frequency key interference, or self-defined frequency precise interference;

[0117] The wide-range frequency band sweep jamming refers to jamming signals within a wide frequency band by sweeping the frequency band. It is suitable for covering the 400MHz, 800MHz, 1400MHz, 1500MHz, 2400MHz, 5200MHz, 5800MHz and other frequency bands used by drones when the specific frequency band of the target drone signal is uncertain.

[0118] The default frequency band focused interference refers to the focused interference of certain known key communication frequency bands. For example, the civil drones specified in the Interim Measures for the Administration of Radio Frequency of Civil UAVs can apply for interference in the frequency bands 840.5-845MHz, 1430-1444MHz, 2400-2476MHz and 5725-5829MHz.

[0119] Customized frequency band precise interference refers to customizing one or more specific frequency bands for precise interference based on the specific needs of the user or the specific characteristics of the target drone signal. It is usually used to interfere with the processed drone frequency points H1 and H2 to reduce electromagnetic pollution.

[0120] The interference radio signal types are divided into: linear frequency modulation interference signal, Gaussian white noise signal or custom orthogonal frequency division multiplexing signal;

[0121] The linear frequency modulation interference signal is an interference signal that is linearly modulated over time and is generated by linearly scanning its frequency within a certain frequency and a certain time period. The mathematical expression is:

[0122]

[0123] Among them, s(t) is the time domain form of the linear frequency modulation interference signal, P is the power of the linear frequency modulation interference signal, and f q (t) is the instantaneous frequency of the interference signal, θ is the initial phase of the interference signal, f is the scanning starting frequency, f max and f min are the maximum and minimum values ​​of the sweep frequency, T swp is the time of a complete frequency sweep cycle; variable b = ±1, representing the positive and negative chirp nature sign; t is time, j is the imaginary unit, j 2 =-1; · is the dot product;

[0124] The mathematical expression of the Gaussian white noise signal is:

[0125]

[0126] Among them, s′(t) is the time domain form of Gaussian white noise signal, A n is the amplitude of the nth noise pulse, which conforms to the Gaussian distribution, t is the time instant, t nis the noise pulse time, δ(t) is the Dirac impulse function; N is the total number of noise pulses; · is the dot product;

[0127] The self-defined OFDM signal is a signal that divides a high-data-rate signal into multiple lower-data-rate sub-signals and modulates them using orthogonal frequencies, and the mathematical expression is:

[0128]

[0129] Wherein, is the instantaneous value of the OFDM signal at time t; x n′,k is the complex data symbol of the kth symbol on the nth subcarrier; N' represents the number of subcarriers; n' represents the subcarrier number; k represents the symbol number; represents the superposition of all symbol k signals; f0 is the starting carrier frequency of the signal; Δf is the frequency interval between adjacent subcarriers; h(t) is the pulse shaping function; T s is the symbol period; j is the imaginary unit, j 2 = -1; kT s is the start of the symbol period,

[0130] The data on the nth subcarrier of the OFDM signal is represented as:

[0131]

[0132] The transmit power of the interfering radio signal is divided into four levels: high, medium-high, medium-low, and low.

[0133] High corresponds to a transmit power of 52dBm.

[0134] Medium-high corresponds to a transmit power of 50dBm.

[0135] Medium-low corresponds to a transmit power of 48dBm.

[0136] Low corresponds to a transmit power of 46dBm.

[0137] And calibrate the transmit power of each frequency band to improve the flatness of the transmit signal power, while performing interference suppression tasks, feedback information to the host computer;

[0138] If it is decided to implement high-power interference suppression to cut off the remote control, image transmission and navigation link of the target UAV;

[0139] According to the characteristics of the target UAV radio spectrum and user demand, choose large range frequency scanning interference, default frequency key interference or self-defined frequency precise interference;

[0140] According to the characteristics of the target UAV radio signal, a linear frequency modulation signal, a Gaussian white noise signal or a self-defined orthogonal frequency division multiplexing signal is selected for transmission;

[0141] Based on the strength of the detected signal, a high, medium-high, medium-low or low transmission gear is selected;

[0142] After the strategy is formulated, the generated interference or decoy signal will be amplified by the power amplifier and transmitted omnidirectionally to the target UAV through the optimized antenna assembly.

[0143] The other steps and parameters are the same as in Embodiment 8.

[0144] Embodiment 10: The difference between this embodiment and Embodiments 8 or 9 is that in step four, the host computer issues a UAV decoy command to the software-defined radio device, the transmitting end of the software-defined radio device receives the UAV decoy command issued by the host computer, and the antenna assembly transmits a radio signal to execute decoy interference on the target UAV. The decoy results are transmitted to the host computer through the network port; and the decoy interference is re-executed after a preset time ε.

[0145] The specific process is as follows:

[0146] After the host computer issues a UAV decoy command to the software-defined radio device, it simulates and sends false navigation information with the same frequency band as the real navigation signal but with a signal strength greater than that of the real navigation signal according to the host computer command, which is emitted through the antenna assembly via the power amplifier, misleading the UAV target to fly to a preset location or directly land.

[0147] The other steps and parameters are the same as in Embodiments 8 or 9.

[0148] During signal transmission, the system continuously monitors the implementation effect of interference or decoy. When the interference or decoy meets a certain time length, it exits the interference or decoy state and reenters the reconnaissance mode. The interference or decoy effect is evaluated according to the reconnaissance UAV signal strength, which is used as a direct indicator of effect evaluation. If the evaluation result shows that the interference does not achieve the expected effect, the system will start a new round of reconnaissance and attack cycle, and adjust the strategy as needed to enhance the response capability.

[0149] The host computer is responsible for managing the overall system, automatically monitoring or manually controlling through network connection to the cloud server, and coordinating all parts to realize the decision-making and issuance of UAV target search, suppression interference and decoy commands.

[0150] The master control machine adopts Raspberry Pi 5 generation, is responsible for managing the overall system, and connects the cloud server through the wireless ad hoc network module HQL010P to realize automatic value or manual control, and plans and arranges each part to realize the decision of the unmanned aerial vehicle target search, suppression interference and decoy instruction; the software radio adopts the combination of ZYNQ7020+AD9361, the software radio receiving end is responsible for processing the antenna receiving signal, sweeping the frequency to generate the electromagnetic spectrum, finding the intruding unmanned aerial vehicle target through the spectrum peak, the software radio transmitting end carries out data mining analysis on the unmanned aerial vehicle radio working characteristics according to the reconnaissance unmanned aerial vehicle frequency point, clusters the frequency points to plan the interference range, generates the interference or decoy signal in the specific frequency band, and blocks or decoys each working frequency band of the unmanned aerial vehicle; the power amplifier adopts gallium nitride technology to amplify the software radio transmitting signal with different power with fixed gain; the antenna assembly is responsible for receiving and transmitting various radio signals; the cloud server is responsible for recording various work logs, providing high computing power support and manual remote control interface.

[0151] The Raspberry Pi master control machine is the core component of the unmanned aerial vehicle suppression interference system, interacts with the rest of the system through the network to realize management, and realizes automatic value or manual remote control through the wireless ad hoc network module HQL010P and the cloud server communication; downwardly, the system communicates with each software radio device through the network cable to start the reconnaissance unmanned aerial vehicle target task, obtains the corresponding determined unmanned aerial vehicle and possible unmanned aerial vehicle frequency hopping signal range by data mining and H1, H2 frequency point density clustering of the collected unmanned aerial vehicle radio working H1, H2 frequency point information, generates the corresponding suppression spectrum range, and issues specific interference or decoy instructions to the software radio device, including spectrum range, interference signal type and transmission power level and other parameters.

[0152] The software radio is composed of a plurality of specific software radio devices, which are the basis of the system, and are responsible for unmanned aerial vehicle target reconnaissance tasks and unmanned aerial vehicle interference and decoy signal generation; each software radio device is responsible for a corresponding frequency band, and its software running environment adopts the GNU Radio platform under the Linux system; when receiving the reconnaissance instruction from the master control machine, the software radio device receives the radio signal in the reconnaissance frequency band through the receiving antenna in the antenna assembly; when the master control machine issues the interference or decoy instruction, each software radio device runs the interference or decoy program script according to the instruction related parameters to generate specific unmanned aerial vehicle interference or decoy signal, which is emitted from the transmitting antenna in the antenna assembly.

[0153] In the unmanned aerial vehicle target reconnaissance task, the system detects the radio frequency range of 70MHz to 6.0GHz, and controls multiple software radio devices to work simultaneously under the control of the host computer. In the corresponding reconnaissance frequency band of each device, the frequency is swept to collect signals, and the electromagnetic spectrum situation awareness is carried out. The double threshold value and the narrowest bandwidth preset value are set. The second threshold value is lower than the first threshold value. The frequency point whose spectrum energy exceeds the first threshold value is determined as the determined unmanned aerial vehicle frequency point H1. The frequency point whose spectrum energy is between the first and second threshold values is regarded as the possible unmanned aerial vehicle frequency point H2. The length of each connected domain in the unmanned aerial vehicle frequency points H1 and H2 is calculated to determine the bandwidth occupied by each connected domain interval length (the length of the connected domain represents the bandwidth). The frequency points in the interval with a bandwidth less than the narrowest bandwidth threshold value are divided into noise frequency points H3. The frequency points in the interval with a bandwidth greater than or equal to the narrowest bandwidth threshold value are the processed unmanned aerial vehicle frequency points H1 and H2. The frequency points that do not exceed the second threshold value are all noise frequency points H3. The relationship between the energy of the frequency points in the electromagnetic spectrum collected by each device and the threshold value is judged. If there is an unmanned aerial vehicle frequency point H2, it is determined that there is a possibility of an unmanned aerial vehicle target. If there is an unmanned aerial vehicle frequency point H1, it is determined that there is an unmanned aerial vehicle target, and the corresponding frequency points and the corresponding possibility are sent to the host computer.

[0154] Let the single spectrum situation awareness power spectrum P(n), n=1,…,m, where n is the frequency point position, and m is the total number of sampling frequency points. Alpha is the first threshold value, and beta is the second threshold value, where alpha>beta. In the sequence P(n), if greater than or equal to the first threshold value alpha, the n value is recorded as the determined unmanned aerial vehicle frequency point H1. If greater than or equal to the second threshold value beta and less than the first threshold value alpha, the n value is recorded as the determined unmanned aerial vehicle frequency point H 2， Then the frequency points in the connected domain of H1 and H2 that are less than the narrowest bandwidth preset value gamma are classified as noise frequency points H3. Finally, the remaining unclassified frequency points in the sequence P(n) are recorded as noise frequency points H3. Alpha, beta and gamma are preset values.

[0155] Then for the first and second threshold value related decision threshold, we have:

[0156]

[0157] Where alpha and beta are preset threshold values, P(n) is the power spectrum sequence, the total number of this sampling is 1024, n=1,…,1024, H1, H2 and H3 represent the three states of the frequency points respectively.

[0158] In the unmanned aerial vehicle jamming suppression task, the jamming suppression frequency range is 47MHz to 6.0GHz. The software radio device loads and runs different GNU Radio compilers according to the specific parameters in the host computer sending instructions, and emits through the antenna assembly via the power amplifier.

[0159] In terms of interference mode, you can choose wide-range frequency band sweep interference, default frequency band focused interference or custom frequency band precise interference according to the target object mission requirements; wide-range frequency band sweep interference refers to the interference of signals within a wide frequency band by sweeping frequency. It is suitable for covering interference on the 400MHz, 800MHz, 1400MHz, 1500MHz, 2400MHz, 5200MHz, 5800MHz and other frequency bands used by drones and other modified communication bands of modified drones when the specific frequency band of the target drone signal is uncertain; the default frequency band Focused interference refers to targeted interference in certain known critical communication frequency bands, such as the frequency bands 840.5-845MHz, 1430-1444MHz, 2400-2476MHz, and 5725-5829MHz that civil drones can apply for as stipulated in the Interim Measures for the Radio Management of Civilian UAVs. Customized frequency band precise interference refers to customizing one or more specific frequency bands for precise interference based on the specific needs of the user or the specific characteristics of the target drone signal. It is usually used to interfere with the processed drone frequency points H1 and H2 to reduce electromagnetic pollution.

[0160] In terms of interference signal type, you can arbitrarily select linear frequency modulation signal, Gaussian white noise signal or custom orthogonal frequency division multiplexing signal for transmission by changing the signal source module of the GRC flow graph in the GNURadio platform;

[0161] In terms of transmit power, by changing the specific attenuation value of the FMComms2 / 3 / 4Source module in the GRC flow chart, four gears are set: high, medium-high, medium-low, and low, corresponding to transmit powers of 52dBm, 50dBm, 48dBm, and 46dBm, respectively. The transmit power of each frequency band is measured and calibrated in advance to improve the flatness of the transmit signal power. While performing the interference suppression task, the operating information is fed back to the main control machine.

[0162] During the drone navigation deception mission, the software radio equipment receives the real navigation signal of the corresponding drone target from the antenna assembly and parses it. When the main control machine issues a deception command, it simulates and sends false navigation information with the same frequency band as the real signal but with greater signal strength according to the main control machine's command. The information is sent through the antenna assembly via the power amplifier, thereby misleading the drone target to fly to the designated location or land directly.

[0163] The power amplifier is a fixed-gain power amplifier. The power amplifier's amplification operating range covers and matches the frequency range of the corresponding radio equipment's transmitted signal. For example, if a radio equipment's transmitted signal frequency range is 2400-2500MHz, the corresponding power amplifier's amplification operating range covers 2400-2500MHz.

[0164] The power amplifier number is same as the radio equipment transmitting port number, the signal average transmitting power can be amplified to 52dBm at most, and the limiter is used to prevent the impact voltage from affecting the normal work of the power amplifier during starting.

[0165] Generally, when the received communication signal energy is lower than the environmental noise and interference signal to a certain extent, the unmanned aerial vehicle communication is blocked, and the calculation formula is:

[0166] P jam +P noise >P signal +6dB

[0167] Wherein P signal is the unmanned aerial vehicle received communication signal power, P noise is the environmental noise power, and P jam is the unmanned aerial vehicle received interference signal power.

[0168] The antenna assembly includes a receiving antenna and a transmitting antenna, both of which are omnidirectional antennas, and the operating frequency bands of the receiving and transmitting antennas are 400MHz, 800MHz, 1400MHz, 1500MHz, 2400MHz, 5200MHz and 5800MHz, the receiving antenna is responsible for passively receiving various types of radio signals of the unmanned aerial vehicle and transmitting to the radio equipment receiving end, and the transmitting antenna is connected with the output end of the power amplifier and is responsible for transmitting the interference suppression and navigation decoy signal amplified by the power amplifier.

[0169] The power supply module is responsible for converting the input 220V alternating current into 24V, 12V and 5V direct current required by each part in the system.

[0170] It also includes a network switching module, which is responsible for the network cable connection between the main control machine and each software radio equipment in the box, and the main control machine outside the box is connected with the cloud server through the wireless module, the cloud server records various work logs, realizes automatic guard through the built-in logic control system, provides high computing power support during data mining, provides an artificial remote control interface, so that the user can directly log in to the GNU Radio platform inside the system, modify the GRC flowchart or update the program script online.

[0171] As shown in Figure 3 , the step method and workflow of the embodiment of the application are as follows:

[0172] After the system is started, the system defaults to detect unmanned aerial vehicle target tasks, collects the detected unmanned aerial vehicle radio work H1 and H2 frequency point information, performs data mining on the H1 and H2 frequency point information, obtains the frequency hopping signal range of the corresponding determined unmanned aerial vehicle and possible unmanned aerial vehicle through the H1 and H2 frequency point density clustering.

[0173] Based on the analysis results of the reconnaissance phase, decisions are made according to the mission requirements for deception or jamming. If the decision is to decoy the drone, the system will generate a navigation decoy signal with a signal strength higher than the original navigation signal to guide the drone to a preset safe area. If the decision is to implement high-power jamming to cut off the drone's remote control, image transmission, and navigation links, the system will select wide-band frequency sweep jamming, default frequency band focused jamming, or custom frequency band precise jamming based on the detected drone's radio operating spectrum characteristics and user needs. Based on the characteristics of the drone's radio signal, the system will select a linear frequency modulation signal, Gaussian white noise signal, or a custom orthogonal frequency division multiplexing signal for transmission. Based on the strength of the detection signal, the system will select a high, medium-high, medium-low, or low transmission gear. After the strategy is formulated, the generated jamming or decoy signal will be amplified by a power amplifier and transmitted omnidirectionally to the target drone through an optimized antenna assembly.

[0174] During the signal transmission process, the system continuously monitors the effectiveness of the jamming or deception operation. When the jamming or deception has lasted for a certain period of time, it exits the jamming or deception state and reenters reconnaissance mode. The system then evaluates the jamming or deception effectiveness based on the signal strength of the reconnaissance drone, using this as a direct indicator of effectiveness. If the evaluation results indicate that the jamming has not achieved the desired effect, the system initiates a new round of reconnaissance and strike cycles, adjusting its strategy as needed to enhance its response capabilities.

[0175] The above is only a preferred embodiment of the present invention. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the technical principles of the present invention. These improvements and modifications should also be regarded as the scope of protection of the present invention.

[0176] In summary, the present invention discloses a UAV interference suppression system based on software radio, which can realize large-scale frequency sweeping in multiple frequency bands within 47MHz to 6.0GHz or generate any type of power-adjustable signal in a custom frequency band range. The signal is amplified by a fixed-gain power amplifier, and data mining is performed on the collected frequency points to accurately suppress multiple working frequency bands of the UAV. In addition, the system can switch the transmission power in multiple gears to reduce interference with the surrounding electromagnetic environment, and can realize automatic duty or manual remote online control through the network.

[0177] The present invention may have many other embodiments. Without departing from the spirit and essence of the present invention, those skilled in the art may make various corresponding changes and modifications based on the present invention, but these corresponding changes and modifications should all fall within the scope of protection of the claims attached to the present invention.

Claims

1. A UAV jamming, suppression and deception system based on software defined radio, characterized by: The system includes: a main control machine, a software radio device, a power amplifier, an antenna assembly and a cloud server; The main control machine communicates with the cloud server through the network port to realize automatic duty or human intervention remote control; The main control machine communicates with the software radio device through the network port, and is used to issue drone target reconnaissance instructions, determine whether the drone in the reconnaissance result is a registered drone, and if so, continue to issue drone target reconnaissance instructions; if not, issue drone suppression interference and drone deception instructions; The receiving end of the software radio device is used to receive the UAV target reconnaissance command issued by the main control computer, perform UAV target reconnaissance on the radio signal received by the antenna component, and transmit the reconnaissance result to the main control computer through the network port; The transmitting end of the software radio device is used to receive the UAV target suppression jamming command issued by the main control machine, transmit the radio signal through the antenna component to perform the UAV suppression jamming on the target UAV, and transmit the suppression jamming result to the main control machine through the network port; The transmitting end of the software radio device is used to receive the drone target decoy instruction issued by the main control computer, transmit the radio signal through the antenna component to perform drone decoy on the target drone, and transmit the decoy result to the main control computer through the network port; The power amplifier is used to amplify radio signals of different powers transmitted by the transmitting end of the software radio device with fixed gain; The antenna assembly is used to receive and transmit various radio signals; The cloud server is used to record various work logs and provide a manual remote control interface; The receiving end of the software radio device is used to receive the UAV target reconnaissance command issued by the host computer and perform UAV target reconnaissance on the radio signal received by the antenna component; the specific process is as follows: The receiving end of the software radio equipment receives the UAV target reconnaissance command issued by the host computer; The software radio device generates an electromagnetic spectrum by continuously sweeping the frequency from 70MHz to 6.0GHz through the antenna assembly simultaneously; Setting a first threshold and a second threshold, wherein the second threshold is smaller than the first threshold; Set the narrowest bandwidth threshold; The frequency point where the spectrum energy of the electromagnetic spectrum generated by the frequency sweep is greater than or equal to the first threshold is determined as the drone frequency point H1, and is sent to the main control machine through the network port; The frequency points of the electromagnetic spectrum generated by the frequency sweep, whose spectrum energy is greater than or equal to the second threshold and less than the first threshold, are regarded as possible drone frequency points H2 and sent to the main control machine through the network port; The frequency points of the electromagnetic spectrum generated by the frequency sweep whose spectrum energy is less than the second threshold are regarded as noise frequency points H3 and sent to the main control machine through the network port; The interval length of each connected domain in the drone frequency points H1 and H2 is calculated, and the bandwidth occupied by the interval length of each connected domain is determined. The frequency points in the interval with a bandwidth less than the narrowest bandwidth threshold are divided into noise frequency points H3, and the frequency points in the interval with a bandwidth greater than or equal to the narrowest bandwidth threshold are processed drone frequency points H1 and H2.

2. The UAV jamming, suppression and deception system based on software defined radio according to claim 1, characterized in that: The transmitting end of the software radio device is used to receive the UAV target suppression jamming command issued by the main control machine, transmit the radio signal through the antenna component to perform the UAV suppression jamming on the target UAV, and transmit the suppression jamming result to the main control machine through the network port; The specific process is: The transmitter of the software radio device transmits a jamming radio signal, which is sent through the power amplifier and the antenna assembly to suppress the target drone; Among them, drone suppression interference is divided into: wide-range frequency band sweep interference, default frequency band focused interference or custom frequency band precise interference; The wide-range frequency band sweep interference refers to the coverage interference of the 400MHz, 800MHz, 1400MHz, 1500MHz, 2400MHz, 5200MHz, and 5800MHz frequency bands used by drones; The default frequency band focus interference refers to interference on the frequency bands 840.5-845MHz, 1430-1444MHz, 2400-2476MHz and 5725-5829MHz; The custom frequency band precise interference refers to the interference of the processed drone frequency points H1 and H2; The interference radio signal types are divided into: linear frequency modulation signal, Gaussian white noise signal or custom orthogonal frequency division multiplexing signal; The transmission power of the interfering radio signal is divided into four levels: high, medium-high, medium-low, and low; High corresponds to a transmit power of 52dBm; Medium and high correspond to a transmit power of 50dBm; Medium and low correspond to a transmit power of 48dBm; The low corresponding transmit power is 46dBm.

3. The UAV jamming, suppression and deception system based on software defined radio according to claim 2, characterized in that: The transmitting end of the software radio device is used to receive the drone target decoy command issued by the main control computer, transmit the radio signal through the antenna component to perform drone decoy on the target drone, and transmit the decoy result to the main control computer through the network port; the specific process is as follows: When the master control machine issues a decoy command, it simulates and sends false navigation information according to the master control machine's command. The navigation information has the same frequency band as the real navigation signal but has a signal strength greater than the real navigation signal. The information is sent through the power amplifier and the antenna assembly, misleading the drone target to fly to a preset position or land directly.

4. The UAV jamming, suppression and deception system based on software defined radio according to claim 3 is characterized in that: The power amplifier is a fixed-gain power amplifier, and the power amplifier amplification operating range covers and matches the frequency range of the signal transmitted by the corresponding software radio device; The number of software radio devices and power amplifiers is the same; The number of power amplifiers is the same as the number of transmit ports on the radio.

5. The UAV jamming, suppression and deception system based on software defined radio according to claim 4 is characterized in that: The antenna assembly comprises a receiving antenna and a transmitting antenna, both of which are omnidirectional antennas; The receiving antenna is responsible for passively receiving various radio signals from the drone and transmitting them to the receiving end of the software radio device; The transmitting antenna is connected to the output end of the power amplifier and is responsible for suppressing the interference after amplification by the power amplifier and transmitting the decoy signal.

6. The UAV jamming, suppression and deception system based on software defined radio according to claim 5, characterized in that: The software radio-based UAV jamming, suppression and deception system further includes a network switching module; The network switching module is responsible for the network cable connection between the main control machine and each software radio device.

7. A method for jamming, suppressing and deceiving drones based on software defined radio, characterized by: The method comprises the following steps: Step 1: The main control machine communicates with the software radio device through the network port. The main control machine issues the drone target reconnaissance command. The software radio device receiving end receives the drone target reconnaissance command issued by the main control machine and performs drone target reconnaissance on the radio signal received by the antenna component. The specific process is as follows: The receiving end of the software radio equipment receives the UAV target reconnaissance command issued by the host computer; The software radio device generates an electromagnetic spectrum by continuously sweeping the frequency from 70MHz to 6.0GHz through the antenna assembly simultaneously; Setting a first threshold and a second threshold, wherein the second threshold is lower than the first threshold; Set the narrowest bandwidth threshold; The frequency point where the spectrum energy of the electromagnetic spectrum generated by the frequency sweep is greater than or equal to the first threshold is determined as the drone frequency point H1, and is sent to the main control machine through the network port; The frequency points of the electromagnetic spectrum generated by the frequency sweep, whose spectrum energy is greater than or equal to the second threshold and less than the first threshold, are regarded as possible drone frequency points H2 and sent to the main control machine through the network port; The frequency points of the electromagnetic spectrum generated by the frequency sweep whose spectrum energy is less than the second threshold are regarded as noise frequency points H3 and sent to the main control machine through the network port; Calculate the interval length of each connected domain in the drone frequency points H1 and H2, determine the bandwidth occupied by the interval length of each connected domain, and classify the frequency points in the interval with a bandwidth less than the narrowest bandwidth threshold as noise frequency points H3. The frequency points in the interval with a bandwidth greater than or equal to the narrowest bandwidth threshold are the processed drone frequency points H1 and H2. Step 2: The host computer determines whether the drone frequency H1 is registered. If so, it continues the drone target reconnaissance. If not, the drone is a jamming drone, and steps 3 and 4 are executed. The main control machine determines whether the drone frequency H2 is registered. If so, it continues the drone target reconnaissance. If not, the drone is a jamming drone and executes steps 3 and 4. Step 3: Cluster the H1 frequency density to determine the frequency hopping signal range of the drone; Cluster the H2 frequency density to obtain the possible frequency hopping signal range of the drone; Based on the obtained frequency hopping signal range of the determined drone and the frequency hopping signal range of the possible drones, the main control machine issues a drone suppression jamming command to the software radio device. The transmitter of the software radio device receives the drone target suppression jamming command issued by the main control machine, transmits a radio signal through the antenna component to perform drone suppression jamming on the target drone, and transmits the suppression jamming result to the main control machine through the network port; after the suppression jamming reaches the preset time ε, step 1 is re-executed; Step 4: The main control computer issues a drone decoy command to the software radio device. The transmitter of the software radio device receives the drone decoy command issued by the main control computer, transmits a radio signal through the antenna component to perform decoy interference on the target drone, and transmits the decoy result to the main control computer through the network port; after the decoy interference reaches the preset time ε, step 1 is executed again.

8. The method for jamming, suppressing and deceiving a UAV based on software defined radio according to claim 7, characterized in that: In step 3, the H1 frequency density is clustered to obtain the frequency hopping signal range of the drone; Cluster the H2 frequency density to obtain the possible frequency hopping signal range of the drone; Based on the obtained frequency hopping signal range of the determined drone and the frequency hopping signal range of the possible drones, the main control machine issues a drone suppression jamming command to the software radio device. The transmitter of the software radio device receives the drone target suppression jamming command issued by the main control machine, transmits a radio signal through the antenna component to perform drone suppression jamming on the target drone, and transmits the suppression jamming result to the main control machine through the network port; after the suppression jamming reaches the preset time ε, step 1 is re-executed; The specific process is: The transmitter of the software radio device transmits a jamming radio signal, which is sent through the power amplifier and the antenna assembly to suppress the target drone; Among them, drone suppression interference is divided into: wide-range frequency band sweep interference, default frequency band focused interference or custom frequency band precise interference; The wide-range frequency band sweep interference refers to the coverage interference of the 400MHz, 800MHz, 1400MHz, 1500MHz, 2400MHz, 5200MHz, and 5800MHz frequency bands used by drones; The default frequency band focus interference refers to interference on the frequency bands 840.5-845MHz, 1430-1444MHz, 2400-2476MHz and 5725-5829MHz; The custom frequency band precise interference refers to the interference of the processed drone frequency points H1 and H2; The interference radio signal types are divided into: linear frequency modulation interference signal, Gaussian white noise signal or custom orthogonal frequency division multiplexing signal; The linear frequency modulation interference signal mathematical expression is: Among them, s(t) is the time domain form of the linear frequency modulation interference signal, P is the power of the linear frequency modulation interference signal, and f q (t) is the instantaneous frequency of the interference signal, θ is the initial phase of the interference signal, f is the scanning starting frequency, f max and f min are the maximum and minimum values ​​of the sweep frequency, T swp is the time of a complete frequency sweep cycle; variable b = ±1, representing the positive and negative chirp nature sign; t is time, j is the imaginary unit, j 2 =-1; · is the dot product; The mathematical expression of the Gaussian white noise signal is: Among them, s′(t) is the time domain form of Gaussian white noise signal, A n is the amplitude of the nth noise pulse, which conforms to the Gaussian distribution, t is the time instant, t n is the noise pulse time, δ(t) is the Dirac pulse function; N is the total number of noise pulses; · is the dot product; The mathematical expression of the custom orthogonal frequency division multiplexing signal is: in, is the instantaneous value of the OFDM signal at time t; x n′,k is the complex data symbol of the kth symbol on the n′th subcarrier; N′ represents the number of subcarriers; n′ represents the subcarrier number; k represents the symbol number; represents the superposition of the signals corresponding to all code elements k; f0 is the starting carrier frequency of the signal; Δf is the frequency interval between adjacent subcarriers; h(t) is the pulse shaping function; T s is the symbol period; j is the imaginary unit, j 2 =-1; kT s is the starting point of the symbol period; The data on the n′th subcarrier of the OFDM signal is expressed as: The transmission power of the interfering radio signal is divided into four levels: high, medium-high, medium-low, and low; High corresponds to a transmit power of 52dBm; Medium and high correspond to a transmit power of 50dBm; Medium and low correspond to a transmit power of 48dBm; The low corresponding transmit power is 46dBm.

9. The method for jamming, suppressing and deceiving a UAV based on software defined radio according to claim 8, characterized in that: In step 4, the main control machine issues a drone decoy instruction to the software radio device. The transmitter of the software radio device receives the drone decoy instruction issued by the main control machine, transmits a radio signal through the antenna component to perform decoy interference on the target drone, and transmits the decoy result to the main control machine through the network port. After the decoy interference reaches the preset time ε, step 1 is executed again. The specific process is as follows: After the main control machine issues a drone decoy command to the software radio equipment, it simulates and sends false navigation information according to the main control machine's command. The navigation information has the same frequency band as the real navigation signal but the signal strength is greater than the real navigation signal. The information is sent through the power amplifier and the antenna assembly, misleading the drone target to fly to a preset position or land directly.

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