Unmanned aerial vehicle friend or foe identification helmet

Abstract

The utility model discloses an unmanned aerial vehicle friend or foe identification helmet which comprises a Beidou satellite system, an unmanned aerial vehicle identification system and an individual soldier helmet. Wherein the individual soldier helmet comprises a sensor module, a data processing module and a first wireless communication module, the sensor module is connected with the data processing module, the data processing module is connected with the first wireless communication module, and the sensor module is used for receiving signals sent by the Beidou satellite system; the data processing module is used for demodulating and extracting the received satellite signal, and the first wireless communication module is used for transmitting the demodulated and extracted signal to the unmanned aerial vehicle identification system; the unmanned aerial vehicle identification system comprises a second wireless communication module, a data fusion module, a target identification module and a decision support module; the objective of the utility model is to solve the problem that the unmanned aerial vehicle can strike the own side because the unmanned aerial vehicle identification system in the prior art cannot accurately identify soldiers with the same skin color.

Description

Technical Field

[0001] The utility model relates to the technical field of unmanned aerial vehicle (UAV) identification, in particular to a UAV friend-or-foe identification helmet. Background Art

[0002] Drone identification friend or foe (IFF) technology is a key technology in modern military and civil aviation. Its origins can be traced back to the battlefield's demand for airpower. With the rapid development of drone technology, the diversification of combat platforms, and the complexity of drone application scenarios, IFF has become increasingly important. The primary purpose of IFF is to effectively distinguish friendly from enemy forces, thereby avoiding accidental injuries and friendly casualties and improving combat efficiency.

[0003] Existing technologies primarily rely on the fusion of multiple sensors, including optical sensors, infrared sensors, radar, and electronic countermeasures equipment. Optical sensors capture target images and combine them with computer vision algorithms for automatic identification. Infrared sensors use the target's thermal signature to distinguish them. Furthermore, radar technology can provide information such as distance and speed to further confirm the target's identity. Furthermore, the introduction of artificial intelligence and machine learning algorithms enables drones to analyze historical data through deep learning models, improving recognition accuracy.

[0004] In summary, the development of drone friend-or-foe identification technology has not only improved combat safety and efficiency, but also promoted the widespread application of drones in various application scenarios; however, in actual use, due to the fact that soldiers with the same skin color gather together to perform tasks, traditional drones cannot specifically identify their own side simply by skin color, resulting in the drones being unable to distinguish between friend and foe, and may accidentally injure their own side while carrying out strike missions against the enemy. Summary of the Invention

[0005] The utility model provides a UAV friend-or-foe identification helmet, which aims to solve the problem that the UAV identification system in the prior art cannot accurately identify soldiers with the same skin color, thereby causing the UAV to attack one's own side.

[0006] In order to solve the above technical problems, the technical solution adopted by the present invention is:

[0007] A UAV friend-or-foe identification helmet, comprising a BeiDou satellite system, a UAV identification system, and an individual helmet;

[0008] The individual soldier helmet includes a sensor module, a data processing module, and a first wireless communication module. The sensor module is connected to the data processing module, which is in turn connected to the first wireless communication module. The sensor module is used to receive signals from the Beidou satellite system, the data processing module is used to demodulate and extract the received satellite signals, and the first wireless communication module is used to transmit the demodulated and extracted signals to the drone identification system.

[0009] The drone identification system includes a second wireless communication module, a data fusion module, a target identification module and a decision support module; the second wireless communication module is connected to the data fusion module, the data fusion module is connected to the target identification module, and the target identification module is connected to the decision support module. The second wireless communication module is used to receive signals sent by the first wireless communication module, and the data fusion module is used to receive, process and analyze data from the sensor module; the target identification module is used to receive processed data from the data fusion module to perform target identification, and the decision support module is used to receive identification results and location information from the target identification module and the location navigation module, and feed back decision results and suggestions to the operation terminal through the communication module.

[0010] Furthermore, the individual soldier helmet also includes a signal converter and an audio communication module. The signal converter is connected to the data processing module and is used to convert the radio signal into an audio signal and transmit it to the audio communication module. The audio communication module is connected to the operation terminal and is used to broadcast the converted signal.

[0011] Furthermore, the data processing module is also connected to a storage unit, which is used to store and back up the demodulated and extracted useful information.

[0012] Furthermore, the drone identification system also includes a position and navigation module, which is connected to the data fusion module. The position and navigation module is used to identify the position of the drone and navigate the drone.

[0013] Furthermore, the sensor module specifically includes a GNSS receiver and an antenna. The GNSS receiver is used to receive signals sent by the Beidou satellite system. The antenna is installed on the helmet body and is used to connect to the GNSS receiver.

[0014] Furthermore, the first wireless communication module and the second wireless communication module perform wireless data transmission through Wi-Fi, Bluetooth, or LTE / 5G modules.

[0015] Furthermore, both the first wireless communication module and the second wireless communication module are provided with an encryption and security unit, and the encryption and security unit is used to encrypt the signal.

[0016] Furthermore, the effective transmission distance between the first wireless communication module and the second wireless communication module is 0-3 km.

[0017] Furthermore, the sensor module also includes an infrared sensor, an accelerometer and a gyroscope. The infrared sensor is used for target detection at night or in low visibility conditions, and the accelerometer and gyroscope are used to monitor the posture and movement status of the helmet to provide support for real-time positioning and navigation.

[0018] Furthermore, the sensor module also includes an INS unit, and the INS unit is used to accurately locate the drone.

[0019] Compared with the prior art, the present invention has the following beneficial effects:

[0020] The utility model mainly includes a Beidou satellite system, a drone identification system and an individual helmet. When in use, the Beidou satellite system sends a signal to the individual helmet. The sensor module in the individual helmet is used to receive the signal sent by the Beidou satellite system, and is used to process the signal sent by the Beidou satellite system through a data processing module, and is used to transmit the signal to a second wireless communication module in the drone identification system through a first wireless communication module. The data fusion module is used to identify the signal sent by the second wireless information module and send the identified signal to a target identification module. The target identification module is used to identify the identity information of the wearer of the individual helmet, calculate the coordinates of the wearer of the individual helmet, and regularly send the coordinates of the wearer of the individual helmet to the second wireless communication module in an encrypted manner. The identification information is then transmitted to a decision support module. The decision support module is used to issue instructions to accurately identify the friendly party within the range. The drone will not issue combat instructions, will not drop bombs or attack the friendly party, and thus avoid the drone from attacking and damaging the friendly party. The advantage of this setup is that our emergency rescue drones can analyze the coordinates of our personnel, accurately locate our own people, and more accurately complete emergency rescue, medical rescue, material delivery, and logistical support. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following is a brief introduction to the drawings required for use in the embodiments. It should be understood that the following drawings only show certain embodiments of the present invention and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other relevant drawings can be obtained based on these drawings without creative work.

[0022] Figure 1 This is a simplified diagram of the connection between the Beidou satellite, the individual soldier's helmet, and the UAV in the present invention.

[0023] Figure 2 This is a diagram of the connection framework between the Beidou satellite, individual helmet and drone in this utility model. DETAILED DESCRIPTION

[0024] The present invention is further described below in conjunction with embodiments. The embodiments described are only a portion of the embodiments of the present invention and are not intended to be all embodiments. Based on the embodiments of the present invention, other embodiments obtained by persons of ordinary skill in the art without creative work are all within the scope of protection of the present invention.

[0025] See also Figure 1 as well as Figure 2 As shown, this embodiment discloses a UAV friend-or-foe identification helmet, including a BeiDou satellite system, a UAV identification system, and an individual helmet;

[0026] The individual soldier helmet includes a sensor module, a data processing module, and a first wireless communication module. The sensor module is connected to the data processing module, which is in turn connected to the first wireless communication module. The sensor module is used to receive signals from the Beidou satellite system, the data processing module is used to demodulate and extract the received satellite signals, and the first wireless communication module is used to transmit the demodulated and extracted signals to the drone identification system.

[0027] The drone identification system includes a second wireless communication module, a data fusion module, a target identification module, and a decision support module; the second wireless communication module is connected to the data fusion module, which is connected to the target identification module, which is connected to the decision support module; the second wireless communication module is used to receive signals sent by the first wireless communication module, and the data fusion module is used to receive, process, and analyze data from the sensor module; the target identification module is used to receive processed data from the data fusion module to perform target identification, and the decision support module is used to receive identification results and location information from the target identification module and the location navigation module, and feed back decision results and suggestions to the operation terminal through the communication module;

[0028] The utility model mainly includes a Beidou satellite system, a drone identification system and an individual helmet. When in use, the Beidou satellite system sends a signal to the individual helmet. The sensor module in the individual helmet is used to receive the signal sent by the Beidou satellite system, and is used to process the signal sent by the Beidou satellite system through a data processing module, and is used to transmit the signal to a second wireless communication module in the drone identification system through a first wireless communication module. The data fusion module is used to identify the signal sent by the second wireless information module and send the identified signal to a target identification module. The target identification module is used to identify the identity information of the wearer of the individual helmet, calculate the coordinates of the wearer of the individual helmet, and regularly send the coordinates of the wearer of the individual helmet to the second wireless communication module in an encrypted manner. The identification information is then transmitted to a decision support module. The decision support module is used to issue instructions to accurately identify the friendly party within the range. The drone will not issue combat instructions, will not drop bombs or attack the friendly party, and thus avoid the drone from attacking and damaging the friendly party. The advantage of this setup is that our emergency rescue drones can analyze the coordinates of our personnel, accurately locate our own people, and more accurately complete emergency rescue, medical rescue, material delivery, and logistical support.

[0029] As an optional implementation, in this embodiment, the specific model of the drone is: DJI Matrice300RTK; the Beidou satellite system sends a signal to the individual soldier's helmet, and the sensor module built into the individual soldier's helmet is specifically a laser radar (LiDAR) sensor, specifically model: Velodyne VLP-16, the laser radar sensor can receive the signal sent by the Beidou satellite system and send the signal to the data processing module, wherein the data processing module is specifically a digital signal processor (DSP), and its model is: Texas Instruments series TMS320; the digital signal processor can process signal data, perform real-time data analysis and filtering, and transmit the processed data to the first radio communication module, the first radio communication module is specifically a microwave communication system, specifically Harris RF-7800 series, and the microwave communication system can transmit the received signal to the second radio communication module, wherein the second radio communication module is an LTE / 5G communication module, specifically model Quecte The lEC25 series is mainly used to be loaded on drones to receive and transmit signals. The LTE / 5G communication module transmits information transmitted by the microwave communication system to the data fusion module. The data fusion module is specifically a data fusion processor in the existing technology. The data fusion processor is installed on the drone. The specific model of the data fusion processor is the NVID IA Jetson Xav ier series; the data fusion processor processes the information sent by the LTE / 5G communication module and transmits the processed information to the target recognition module. The target recognition module is specifically a deep learning accelerator card in the existing technology. The deep learning accelerator card is loaded inside the drone. The specific model of the deep learning accelerator card is NVID IA Jetson Nano. The deep learning accelerator card can efficiently perform deep learning inference and is suitable for target recognition tasks on drones; the deep learning accelerator card identifies its own soldiers and finally transmits the summarized information to the control terminal. The control terminal issues instructions to the drone to complete the drone's strike mission.

[0030] In some embodiments, the individual soldier helmet also includes a signal converter and an audio communication module. The signal converter is connected to the data processing module and is used to convert the radio signal into an audio signal and transmit it to the audio communication module. The audio communication module is connected to the operation terminal and is used to broadcast the converted signal.

[0031] As an optional implementation, in this embodiment, the signal converter is an ADC (analog-to-digital converter) in the prior art, and the audio communication module is specifically an audio codec (Codec) in the prior art. The specific models of the ADC and the audio codec are: Analog Devices and Ci rrus Logic, respectively. In actual use, the analog-to-digital converter and the audio codec are both installed on an individual soldier's helmet. The analog-to-digital converter converts the signal into audio and transmits it to the audio codec, which broadcasts the audio.

[0032] In some embodiments, the data processing module is further connected to a storage unit, and the storage unit is used to store and back up the demodulated and extracted useful information.

[0033] In actual use, the storage unit is a 32GB-EMMC storage unit.

[0034] In some embodiments, the drone identification system further includes a location and navigation module, which is connected to the data fusion module. The location and navigation module is used to identify the location of the drone and navigate the drone.

[0035] In some embodiments, the sensor module specifically includes a GNSS receiver and an antenna. The GNSS receiver is used to receive signals sent by the Beidou satellite system. The antenna is installed on the helmet body and is used to connect to the GNSS receiver.

[0036] In some embodiments, the first wireless communication module and the second wireless communication module perform wireless data transmission via Wi-Fi, Bluetooth, or LTE / 5G modules.

[0037] In some embodiments, both the first wireless communication module and the second wireless communication module are provided with an encryption and security unit, and the encryption and security unit is used to encrypt the signal.

[0038] In some embodiments, the effective transmission distance between the first wireless communication module and the second wireless communication module is 0-3 km.

[0039] In some embodiments, the sensor module also includes an infrared sensor, an accelerometer, and a gyroscope. The infrared sensor is used for target detection at night or in low visibility conditions, and the accelerometer and gyroscope are used to monitor the posture and motion status of the helmet to provide support for real-time positioning and navigation.

[0040] In some embodiments, the sensor module further includes an I NS unit, which is used to accurately locate the drone.

[0041] As an optional implementation, in this embodiment, a self-destruct device is further provided on the individual soldier's helmet, which is connected to the Beidou satellite system and is used to remotely destroy the first wireless communication module.

[0042] During actual use, the Beidou satellite system sends out interference signals, electronically interfering with the first wireless communication module, thereby achieving self-destruction of the individual soldier's helmet.

[0043] In the description of the present invention, it should be understood that the terms "coaxial", "bottom", "one end", "top", "middle", "the other end", "upper", "one side", "top", "inside", "front", "center", "two ends", etc., indicating the orientation or position relationship, are based on the orientation or position relationship shown in the accompanying drawings, and are only for the convenience of describing the present invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as a limitation on the present invention.

[0044] In addition, the terms "first", "second", "third" and "fourth" are used for descriptive purposes only and cannot be understood as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Therefore, the features defined as "first", "second", "third" and "fourth" may explicitly or implicitly include at least one such feature.

[0045] In the present invention, unless otherwise clearly stipulated and limited, the terms such as "installation", "setting", "connection", "fixation" and "screw-on" should be understood in a broad sense. For example, it can be a fixed connection, a detachable connection, or an integrated connection; it can be a mechanical connection or an electrical connection; it can be a direct connection or an indirect connection through an intermediate medium, it can be the internal connection of two elements or the interaction relationship between two elements. Unless otherwise clearly defined, ordinary technicians in this field can understand the specific meanings of the above terms in the present invention according to the specific circumstances.

[0046] Although the embodiments of the present invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and variations may be made to these embodiments without departing from the principles and spirit of the present invention, and the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A UAV friend-or-foe identification helmet, including a BeiDou satellite system, characterized by: It also includes drone identification systems and individual soldier helmets; The individual soldier helmet includes a sensor module, a data processing module, and a first wireless communication module. The sensor module is connected to the data processing module, which is in turn connected to the first wireless communication module. The sensor module is used to receive signals from the Beidou satellite system, the data processing module is used to demodulate and extract the received satellite signals, and the first wireless communication module is used to transmit the demodulated and extracted signals to the drone identification system. The drone identification system includes a second wireless communication module, a data fusion module, a target identification module and a decision support module; the second wireless communication module is connected to the data fusion module, the data fusion module is connected to the target identification module, and the target identification module is connected to the decision support module. The second wireless communication module is used to receive signals sent by the first wireless communication module, and the data fusion module is used to receive, process and analyze data from the sensor module; the target identification module is used to receive processed data from the data fusion module to perform target identification, and the decision support module is used to receive identification results and location information from the target identification module and the location navigation module, and feed back decision results and suggestions to the operation terminal through the communication module.

2. The UAV friend-or-foe identification helmet according to claim 1, characterized in that: The individual soldier helmet also includes a signal converter and an audio communication module. The signal converter is connected to the data processing module and is used to convert the radio signal into an audio signal and transmit it to the audio communication module. The audio communication module is connected to the operation terminal and is used to broadcast the converted signal.

3. The UAV friend-or-foe identification helmet according to claim 1, characterized in that: The data processing module is also connected to a storage unit, which is used to store and back up the demodulated and extracted useful information.

4. The UAV friend-or-foe identification helmet according to claim 1, characterized in that: The drone identification system also includes a position and navigation module, which is connected to the data fusion module. The position and navigation module is used to identify the position of the drone and navigate the drone.

5. The UAV friend-or-foe identification helmet according to claim 1, characterized in that: The sensor module specifically includes a GNSS receiver and an antenna. The GNSS receiver is used to receive signals sent by the Beidou satellite system. The antenna is installed on the helmet body and is used to connect to the GNSS receiver.

6. The UAV friend-or-foe identification helmet according to claim 1, characterized in that: The first wireless communication module and the second wireless communication module perform wireless data transmission via Wi-Fi, Bluetooth, or LTE / 5G module.

7. The UAV friend-or-foe identification helmet according to claim 1, characterized in that: The first wireless communication module and the second wireless communication module are both provided with an encryption and security unit, which is used to encrypt signals.

8. The UAV friend-or-foe identification helmet according to claim 1, characterized in that: The effective transmission distance between the first wireless communication module and the second wireless communication module is 0-3 km.

9. The UAV friend-or-foe identification helmet according to claim 5, characterized in that: The sensor module also includes an infrared sensor, an accelerometer and a gyroscope. The infrared sensor is used for target detection at night or in low visibility conditions, and the accelerometer and gyroscope are used to monitor the posture and movement status of the helmet to provide support for real-time positioning and navigation.

10. The UAV friend-or-foe identification helmet according to claim 1, characterized in that: The sensor module also includes an INS unit, which is used to accurately locate the drone.

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