CN210072069U - Unmanned aerial vehicle's device is listened in search - Google Patents
Unmanned aerial vehicle's device is listened in search Download PDFInfo
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- CN210072069U CN210072069U CN201920296547.9U CN201920296547U CN210072069U CN 210072069 U CN210072069 U CN 210072069U CN 201920296547 U CN201920296547 U CN 201920296547U CN 210072069 U CN210072069 U CN 210072069U
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Abstract
The utility model provides a device for searching and detecting unmanned aerial vehicles, which is used for searching and detecting the unmanned aerial vehicles in the designated airspace, and comprises a transmitting radar module, a receiving radar module and an analysis module connected with the receiving radar module; the analysis module stores unmanned aerial vehicle airflow disturbance characteristic data during flying of the unmanned aerial vehicle; the transmitting radar is set to transmit and detect radar waves to a designated airspace, the analysis module acquires radar reflected beams of the designated airspace through the receiving radar module and analyzes airflow condition data of the designated airspace from the reflected beams, and when the airflow condition data contains data matched with airflow disturbance characteristic data of the unmanned aerial vehicle, the unmanned aerial vehicle in the designated airspace is considered to possibly have a flight state; the utility model discloses can compensate the defect of traditional unmanned aerial vehicle search, accurately search for the unmanned aerial vehicle flight phenomenon in appointed airspace and listen.
Description
Technical Field
The utility model belongs to the technical field of the radar detection technique and specifically relates to an unmanned aerial vehicle's device is listened in search.
Background
Since the low-altitude airspace below 1000 meters is gradually opened in China, more and more unmanned aerial vehicles, aeromodelling, hot air balloons, Kongming lamps and other 'low, slow and small' aircrafts are used, convenience is brought to the development of the economic society, meanwhile, opportunities are brought to lawbreakers, and various illegal flights cause serious potential safety hazards to important activities and key areas. Particularly, the 'black flight' frequently reported recently causes emergency avoidance of a plurality of flights, and the normal flight and the take-off and landing of the flights are seriously disturbed. Meanwhile, individual lawbreakers are not excluded from possibly utilizing the unmanned aerial vehicle to do illegal collusion or terrorist activities, the unmanned aerial vehicle can carry the camera and also can transport articles such as explosives, the sound is small and is difficult to perceive, and conditions can be created for the lawbreakers to utilize the micro unmanned aerial vehicle to peep at privacy of other people, terrorist attacks and the like.
The 'black fly' event can also endanger the life and property safety of people and disturb the public security. Users who are not professionally trained, in order to satisfy personal interests, who are not constantly aware of no awareness of flight laws and regulations exist in large numbers; the civil unmanned aerial vehicle falls off in the air of dozens of meters and more than one hundred meters, possibly causing casualties. The danger that may be caused by "black flies" in many places such as parks is self-evident.
At present, the methods for searching and finding the small targets in the air mainly include passive radio frequency spectrum detection search and finding, traditional passive or active radar search and finding the target surface, acoustic wave recognition search and finding, a visible light camera or an infrared thermal imager, and the like.
The radio frequency spectrum monitoring is to search and find the unmanned aerial vehicle by passively detecting the communication between the unmanned aerial vehicle and a ground remote controller, such as a frequency spectrum signal of a remote control system, a data transmission system or a picture transmission system. The radio frequency spectrum monitoring has the characteristics of wide detection range, long distance and quick response, and is a feasible effective detection means, but if the target of the unmanned aerial vehicle does not transmit radio signals and is in a silent state, the unmanned aerial vehicle cannot be detected by using an electromagnetic spectrum method.
Traditional radar search finds that unmanned aerial vehicle is through current 2D 3D machinery or electric scanning radar technique, utilizes the electromagnetic wave to produce the back wave phenomenon when different transmission medium and realizes the listening to the unmanned aerial vehicle target, but modern unmanned aerial vehicle generally comprises plastic foam, balsawood and composite material, and this kind of material has the special wave characteristic, greatly reduced actual effect. In addition, the radar scattering area of the unmanned aerial vehicle is very small, and the effective scattering area, the distance and the discovery probability detected by the radar are reduced.
The sound wave identification search finds that the unmanned aerial vehicle finds and detects the unmanned aerial vehicle by identifying noise emitted by the airborne working of the unmanned aerial vehicle. The detected audio is matched with a database recording all the audios of the unmanned aerial vehicle, so that whether the detected audio is the sound of the unmanned aerial vehicle or not can be identified. However, the current technology has short effective detection distance and is very susceptible to interference.
The visible light/infrared detection is to detect the unmanned aerial vehicle by using visible light or thermal infrared reflection of a target and adopting a visible camera and an infrared thermal imager sensor combination which are beyond visual range, high definition and transparent. The visible light/infrared detection can find unmanned aerial vehicles of various types, and can realize full-day, real-time and visual monitoring management. But unmanned aerial vehicle is because small, and its infrared radiation and characteristic are low for discovery distance through infrared is listened shortens greatly, and on laser-resistant is listened, unmanned aerial vehicle is changeed and is taken materials such as ripples, transmission, leaded light, reduces laser reflection and appearance stealth design etc. for visible light/infrared is listened and is become more difficult.
Disclosure of Invention
The utility model provides an unmanned aerial vehicle's device is listened in search can compensate the defect of traditional unmanned aerial vehicle search, accurately searches for the unmanned aerial vehicle flight phenomenon in appointed airspace and listen.
The utility model adopts the following technical scheme.
A device for searching and detecting unmanned aerial vehicles is used for searching and detecting the unmanned aerial vehicles in a specified airspace and comprises a transmitting radar module, a receiving radar module and an analysis module connected with the receiving radar module; the analysis module stores unmanned aerial vehicle airflow disturbance characteristic data during flying of the unmanned aerial vehicle; the transmitting radar is a transmitting radar which is set to transmit and detect radar waves to a designated airspace, the analysis module acquires radar reflected beams of the designated airspace through the receiving radar module and analyzes airflow condition data of the designated airspace from the reflected beams, and when the airflow condition data contains data matched with airflow disturbance characteristic data of the unmanned aerial vehicle, the unmanned aerial vehicle in the designated airspace is considered to have a possible flight state.
The number of the transmitting radar modules and the number of the receiving radar modules are configured according to a one-to-one ratio or a one-to-many ratio.
The transmitting radar module or the receiving radar module is part of a weather radar or part of a Doppler radar.
Unmanned aerial vehicle includes fixed wing unmanned aerial vehicle, many rotor unmanned aerial vehicle or possesses the unmanned aerial vehicle of fixed wing and many rotors simultaneously.
Unmanned aerial vehicle air current disturbance characteristic data include the vortex disturbance characteristic data that the unmanned aerial vehicle rotor produced at aerial during operation, still include unmanned aerial vehicle's organism wake disturbance characteristic data.
The vortex disturbance characteristic data and the airframe wake disturbance characteristic data are radar reflection wave beam characteristics caused by air turbulence formed when the unmanned aerial vehicle works or moves and refractive index change caused by air density change.
When the analysis module finds that the airflow condition data contains data matched with the airflow disturbance characteristic data of the unmanned aerial vehicle, the unmanned aerial vehicle in the designated airspace possibly has a flight state at the position of the airflow disturbance point of the unmanned aerial vehicle is considered.
The transmitting radar module and the receiving radar module are high-sensitivity ultrahigh frequency radar modules or very high frequency radar modules.
The transmitting radar module comprises a transmitter; the receiving radar module comprises a receiver, a signal processor, a data processor and a display; the transmitting radar module and the receiving radar module are connected with the radar antenna through the duplexer; the radar antenna is connected to a beam sweep generator or server.
The technical scheme of the utility model, the different degree changes of atmospheric refraction index that the vortex that the rotor of many rotor unmanned aerial vehicle produced when aerial work or the wake that the fixed wing unmanned aerial vehicle organism produced take place can scatter irregular radar wave beam and design, and as is known, irregular change of atmospheric refraction can produce irregular radar and shine the echo, and irregular of atmospheric refraction is caused by the irregular change (vortex or the high-speed flow of the inside air current of wake) of temperature, humidity and density of air current; when the unmanned aerial vehicle flies, the vortex or the wake flow flows along with the high-speed movement of the airflow generated when the unmanned aerial vehicle works in the air, and the ground radar receiving module can detect irregular echo scattered by the vortex or the wake flow to search and find the unmanned aerial vehicle; the vortex or wake flow is a basic phenomenon that the unmanned aerial vehicle cannot disappear when working in the air, irregular radar echo information of the vortex or wake flow is obtained, and a most direct and effective tool is provided for finding the unmanned aerial vehicle by radar search.
The utility model discloses the principle is unique, thinks about ingenious, the feasibility is high, can high-efficient search discover aerial "low, little, slow" target, can effectively restrain unmanned aerial vehicle "black fly" illegal and illegal phenomenon, the utility model discloses the scheme is not influenced by the unmanned aerial vehicle material, moreover because the motion of machinery class aircraft has great difference with the flying bird, consequently can distinguish unmanned aerial vehicle and flying bird easily.
Drawings
The invention will be described in further detail with reference to the following drawings and detailed description:
figure 1 is a schematic diagram of an unmanned aerial vehicle producing airflow disturbances;
FIG. 2 is a schematic diagram of the operation of the present invention;
FIG. 3 is a schematic diagram of the composition of a radar;
in the figure: 1-unmanned aerial vehicle; 2-transmitting a radar module; and 3, receiving a radar module.
Detailed Description
As shown in fig. 1-3, an apparatus for searching and detecting an unmanned aerial vehicle is used for searching and detecting an unmanned aerial vehicle 1 in a designated airspace, and the apparatus includes a transmitting radar module 2, a receiving radar module 3, and an analysis module connected to the receiving radar module; the analysis module stores unmanned aerial vehicle airflow disturbance characteristic data during flying of the unmanned aerial vehicle; the transmitting radar is a transmitting radar which is set to transmit and detect radar waves to a designated airspace, the analysis module acquires radar reflected beams of the designated airspace through the receiving radar module and analyzes airflow condition data of the designated airspace from the reflected beams, and when the airflow condition data contains data matched with airflow disturbance characteristic data of the unmanned aerial vehicle, the unmanned aerial vehicle in the designated airspace is considered to have a possible flight state.
The number of the transmitting radar modules and the number of the receiving radar modules are configured according to a one-to-one ratio or a one-to-many ratio.
The transmitting radar module or the receiving radar module is part of a weather radar or part of a Doppler radar.
Unmanned aerial vehicle includes fixed wing unmanned aerial vehicle, many rotor unmanned aerial vehicle or possesses the unmanned aerial vehicle of fixed wing and many rotors simultaneously.
Unmanned aerial vehicle air current disturbance characteristic data include the vortex disturbance characteristic data that the unmanned aerial vehicle rotor produced at aerial during operation, still include unmanned aerial vehicle's organism wake disturbance characteristic data.
The vortex disturbance characteristic data and the airframe wake disturbance characteristic data are radar reflection wave beam characteristics caused by air turbulence formed when the unmanned aerial vehicle works or moves and refractive index change caused by air density change.
When the analysis module finds that the airflow condition data contains data matched with the airflow disturbance characteristic data of the unmanned aerial vehicle, the unmanned aerial vehicle in the designated airspace possibly has a flight state at the position of the airflow disturbance point of the unmanned aerial vehicle is considered.
The transmitting radar module and the receiving radar module are high-sensitivity ultrahigh frequency radar modules or very high frequency radar modules.
The transmitting radar module comprises a transmitter; the receiving radar module comprises a receiver, a signal processor, a data processor and a display; the transmitting radar module and the receiving radar module are connected with the radar antenna through the duplexer; the radar antenna is connected to a beam sweep generator or server.
Example (b):
the lift force of the multi-rotor drone is mainly generated by pressing air down by the high-speed rotation of the rotor blades and utilizing the force of the downwash air obtained therefrom, and therefore the multi-rotor drone generates vortices by the high-speed rotation of the blades above and below the rotor that is traveling or hovering.
Irregular radar wave beams can be scattered by the aid of different degrees of atmospheric refractive index changes of vortexes generated by rotors of the multi-rotor unmanned aerial vehicle during air work or wake flows generated by bodies of fixed-wing unmanned aerial vehicles. Irregular changes in atmospheric refraction, which are caused by irregular changes in temperature, humidity and density of the airflow (high velocity flow of the airflow inside the vortex or wake), can produce irregular echoes of radar illumination.
The vortex or wake flows along with the high-speed movement of airflow generated when the unmanned aerial vehicle works in the air, the same wave beam emitted by the ground emission radar (emission radar module) reaches the vortex airflow of the multi-rotor unmanned aerial vehicle, and the echoes reflected from the vortex airflow to the receiving radar (receiving radar module) are different, so that the irregular echoes scattered by the vortex or wake can be detected through a series of signal processing and data processing at the rear end, and the unmanned aerial vehicle can be searched and found.
Because swirl or wake are the fundamental phenomenon that unmanned aerial vehicle can not disappear in aerial work, consequently pass through the scheme has obtained behind the anomalous radar echo information of swirl or wake, just provides the most direct effectual instrument for radar search discovery unmanned aerial vehicle.
Claims (9)
1. The utility model provides a device of unmanned aerial vehicle is listened in search for unmanned aerial vehicle in the appointed airspace is listened, its characterized in that: the device comprises a transmitting radar module, a receiving radar module and an analysis module connected with the receiving radar module; the analysis module stores unmanned aerial vehicle airflow disturbance characteristic data during flying of the unmanned aerial vehicle; the transmitting radar is a transmitting radar which is set to transmit and detect radar waves to a designated airspace, the analysis module acquires radar reflected beams of the designated airspace through the receiving radar module and analyzes airflow condition data of the designated airspace from the reflected beams, and when the airflow condition data contains data matched with airflow disturbance characteristic data of the unmanned aerial vehicle, the unmanned aerial vehicle in the designated airspace is considered to have a possible flight state.
2. The apparatus of claim 1, wherein: the number of the transmitting radar modules and the number of the receiving radar modules are configured according to a one-to-one ratio or a one-to-many ratio.
3. The apparatus of claim 1, wherein: the transmitting radar module or the receiving radar module is part of a weather radar or part of a Doppler radar.
4. The apparatus of claim 1, wherein: unmanned aerial vehicle includes fixed wing unmanned aerial vehicle, many rotor unmanned aerial vehicle or possesses the unmanned aerial vehicle of fixed wing and many rotors simultaneously.
5. The apparatus of claim 4, wherein the apparatus for searching for and detecting the drone comprises: unmanned aerial vehicle air current disturbance characteristic data include the vortex disturbance characteristic data that the unmanned aerial vehicle rotor produced at aerial during operation, still include unmanned aerial vehicle's organism wake disturbance characteristic data.
6. The apparatus of claim 5, wherein: the vortex disturbance characteristic data and the airframe wake disturbance characteristic data are radar reflection wave beam characteristics caused by air turbulence formed when the unmanned aerial vehicle works or moves and refractive index change caused by air density change.
7. The apparatus of claim 1, wherein: when the analysis module finds that the airflow condition data contains data matched with the airflow disturbance characteristic data of the unmanned aerial vehicle, the unmanned aerial vehicle in the designated airspace possibly has a flight state at the position of the airflow disturbance point of the unmanned aerial vehicle is considered.
8. The apparatus of claim 1, wherein: the transmitting radar module and the receiving radar module are high-sensitivity ultrahigh frequency radar modules or very high frequency radar modules.
9. The apparatus of claim 8, wherein: the transmitting radar module comprises a transmitter; the receiving radar module comprises a receiver, a signal processor, a data processor and a display; the transmitting radar module and the receiving radar module are connected with the radar antenna through the duplexer; the radar antenna is connected to a beam sweep generator or server.
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| CN201920296547.9U CN210072069U (en) | 2019-03-09 | 2019-03-09 | Unmanned aerial vehicle's device is listened in search |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109709543A (en) * | 2019-03-09 | 2019-05-03 | 福建星图智控科技有限公司 | A method of search detecting unmanned plane |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109709543A (en) * | 2019-03-09 | 2019-05-03 | 福建星图智控科技有限公司 | A method of search detecting unmanned plane |
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