Counter system, device and method for battlefield unmanned aerial vehicle target

Abstract

The invention relates to a countering system, device and method for a battlefield unmanned aerial vehicle target, and belongs to the technical field of unmanned aerial vehicles. The laser countering module is used for burning a CMOS sensor of the unmanned aerial vehicle, so that the unmanned aerial vehicle loses a graph transmission function; and the data processing and control module is used for analyzing the position of the unmanned aerial vehicle according to the detection result of the detection module and controlling the laser countering module to attack the unmanned aerial vehicle according to the analyzed position of the unmanned aerial vehicle. And the detection module comprises an optical detection assembly and a laser detection assembly. And the laser countering module comprises a plurality of groups of laser arrays covering visible light, near infrared and short wave infrared bands. The CMOS sensor of the unmanned aerial vehicle is ablated and damaged, so that the visual field of the unmanned aerial vehicle is lost, and the purpose of countering the unmanned aerial vehicle is achieved.

Description

Technical Field

[0001] The present invention relates to the technical field of unmanned aerial vehicles, and particularly to a countermeasure system, device and method for battlefield unmanned aerial vehicle targets. Background Art

[0002] Existing unmanned aerial vehicle countermeasure technologies mainly rely on means such as electronic interference, radio signal blocking, laser interception and net gun. However, these technologies have obvious deficiencies in dealing with fiber optic FPV unmanned aerial vehicles: For electronic interference, fiber optic FPV unmanned aerial vehicles transmit signals through optical fibers and are completely unaffected by electromagnetic interference. Traditional electronic interference means are ineffective against them.

[0003] For radio signal blocking, since fiber optic FPV unmanned aerial vehicles do not rely on radio signals, traditional radio signal blocking technologies cannot act on them.

[0004] For laser interception, existing laser interception technologies mainly target the physical structure of unmanned aerial vehicles rather than their core sensors. Summary of the Invention

[0005] The object of the present invention is to address the problems in the background art and propose a countermeasure system, device and method for battlefield unmanned aerial vehicle targets that ablate and damage the CMOS sensor of an unmanned aerial vehicle, causing the unmanned aerial vehicle to lose its field of view, thereby achieving the purpose of countering the unmanned aerial vehicle.

[0006] The technical solution of the present invention: A countermeasure system for battlefield unmanned aerial vehicle targets includes: A detection module for scanning and identifying the type and behavior of an unmanned aerial vehicle; A laser countermeasure module for burning out the CMOS sensor of the unmanned aerial vehicle, causing the unmanned aerial vehicle to lose its graphic transmission function; A data processing and control module for analyzing the position of the unmanned aerial vehicle according to the detection result of the detection module and controlling the laser countermeasure module to attack the unmanned aerial vehicle according to the analyzed position of the unmanned aerial vehicle.

[0007] Preferably, the detection module includes a radar detection component, an optical detection component and a laser detection component.

[0008] Preferably, the laser countermeasure module includes multiple groups of laser arrays covering visible light, near infrared, and short wave infrared bands.

[0009] Preferably, the laser countermeasure module further includes a MEMS galvanometer scanning part, supporting a scanning rate of 500 Hz and a field of view angle of ±45°.

[0010] Preferably, the optical detection component includes a multispectral imaging unit, integrating a visible light global shutter camera and a short-wave infrared thermal imager, a multispectral image fusion algorithm, and using an improved YOLOv5 model to achieve full-spectrum target classification.

[0011] Preferably, the data processing and control module includes a multi-sensor data fusion processor, integrating a Kalman filter and a deep learning target recognition algorithm and a laser energy dynamic distribution module, and based on the target distance, the spot diameter and power density are adjusted in real time.

[0012] An anti-countermeasure device for battlefield UAV targets includes the above-mentioned anti-countermeasure system for battlefield UAV targets, and further includes a radar detection component, a single-board computer, a power supply, an adjustable base, a zoom component, a laser unit, and an optical camera; The zoom component is rotatably arranged on the adjustable base; the zoom component includes a housing, a rotating sleeve, a telescopic cylinder, an adjusting component, and a sliding column; the laser unit includes a laser emitter, a condenser lens, a scattering light column, and a light-shielding plate; a sliding groove is arranged on the housing, and a guiding groove is arranged on the rotating sleeve; the laser emitter is arranged on the housing, a plurality of condenser lenses are arranged and are respectively arranged in the housing and the telescopic cylinder, the telescopic cylinder is slidably arranged on the housing, the sliding column is arranged on the telescopic cylinder and is slidably arranged in the sliding groove, the rotating sleeve is rotatably arranged on the housing, and the sliding column is slidably arranged in the guiding groove; the adjusting component is arranged on the housing for driving the rotating sleeve to rotate; the light-shielding plate is arranged on the telescopic cylinder, and the scattering light column is arranged on the light-shielding plate; ten laser emitters are arranged and are distributed in a triangular stepped shape.

[0013] Preferably, the resolution of the optical camera ≥1080P is linked with the sensitivity of the FLIR Lepton infrared thermal imager ≤50mK.

[0014] Preferably, the laser includes a laser emitter and an adjustable base.

[0015] An anti-countermeasure method for battlefield UAV targets, based on the above-mentioned anti-countermeasure device for battlefield UAV targets, the method includes the following steps: S1. After power-on, start the program self-check; S2. When a flying object enters the detection range, the flying object is detected and identified by the detection module; S3. Judge whether the flying object is a UAV according to the recognition result; S4. If it is judged to be a UAV, the position of the UAV is real-time located by the data processing and control module, and the laser countermeasure module is controlled to face the UAV; S5. The laser countermeasure module irradiates the drone with a laser beam. The beam is scattered into a linear shape by the glass cylinder and then focused by the focusing component. S6. When the drone is continuously irradiated by the laser countermeasure module, the CMOS sensor of the drone will be ablated, causing the drone to lose its vision.

[0016] Compared with the prior art, the present invention has the following beneficial technical effects: In the present invention, the laser array starts ten 100W lasers simultaneously, and the laser is converged together through optical components to reach the power for ablating the CMOS of the drone. Multiple lasers emit multiple-wavelength lasers simultaneously to prevent the filter. The spot diameter is dynamically adjusted by the two-dimensional galvanometer system to be ≤5 cm, and the CMOS sensor is ablated by continuous irradiation within 1 second. The laser is used to support the visible light and infrared bands covering 800 - 1550 nm, and can penetrate common filters such as ND8. Through the adaptive power control APC, only the CMOS area is intensively irradiated, and the energy consumption per single strike is ≤500000 J, extending the battery life.

[0017] The above description is only an overview of the technical solution of the present invention. In order to be able to understand the technical means of the present invention more clearly and implement it according to the content of the description, the following takes the preferred embodiments of the present invention and combines with the drawings to describe in detail as follows. The specific implementation manners of the present invention are given in detail by the following embodiments and their drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] The drawings described herein are used to provide a further understanding of the present invention, and constitute a part of this application. The schematic embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute an improper limitation to the present invention. In the drawings: Figure 1 is a schematic diagram of the system of the embodiment in the present invention; Figure 2 is a schematic structural diagram of the embodiment in the present invention; Figure 3 is an exploded view of the structure of the embodiment in the present invention; Figure 4 is a schematic diagram of the partial structure of the embodiment in the present invention.

[0019] Reference numerals: 1, adjustable base; 2, zoom component; 201, housing; 202, rotating sleeve; 203, telescopic cylinder; 204, adjusting component; 205, sliding column; 2011, sliding groove; 2021, guiding groove; 3, laser unit; 301, laser emitter; 302, condenser lens; 303, scattering light column; 304, light-shielding plate. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0020] The principles and features of the present invention will be described below in conjunction with the accompanying drawings. The examples given are only used to explain the present invention and are not intended to limit the scope of the present invention. In the following paragraphs, the present invention will be described more specifically by way of example with reference to the accompanying drawings. It should be noted that the accompanying drawings are all in a very simplified form and use non-precise scales, only for the purpose of facilitating and clearly assisting in explaining the objectives of the embodiments of the present invention.

[0021] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by those of ordinary skill in the technical field to which the present invention belongs. The terms used in the specification of the present invention herein are only for the purpose of describing specific embodiments and are not intended to limit the present invention. The term "and / or" used herein includes any and all combinations of one or more of the related listed items.

[0022] Embodiment 1 As Figures 1-4 shown, a countermeasure system for battlefield unmanned aerial vehicle (UAV) targets proposed by the present invention includes a detection module for scanning and identifying the type and behavior of UAVs; a laser countermeasure module for burning out the CMOS sensor of the UAV, causing the UAV to lose its image transmission function; and a data processing and control module for analyzing the position of the UAV according to the detection result of the detection module and controlling the laser countermeasure module to attack the UAV according to the analyzed position of the UAV. The detection module includes a radar detection component, an optical detection component, and a laser detection component; the UAV is detected by the cooperation of the radar detection component, the optical detection component, and the laser detection component to improve the accuracy of detection.

[0023] The laser countermeasure module includes multiple groups of laser arrays covering the visible light, near-infrared, and short-wave infrared bands. The laser countermeasure module also includes a MEMS galvanometer scanning part, supporting a scanning rate of 500 Hz and a field of view angle of ±45°; high-power lasers conduct extensive laser attacks on the UAV area. Like a light beam, although the attack is useless for other parts of the UAV, it can burn out the CMOS sensor of the UAV and make it ineffective through ablation, resulting in the UAV losing its image transmission ability. A laser component with an adjustable pitch angle is adopted, and the CMOS sensor is ablated in a short time. Laser countermeasure does not require physical contact and can accurately strike the key components of the UAV at a long distance.

[0024] The optical detection component includes a multispectral imaging unit, integrating a visible light global shutter camera and a short-wave infrared thermal imager, a multispectral image fusion algorithm, and uses an improved YOLOv5 model to achieve full-spectrum target classification. The data processing and control module includes a multi-sensor data fusion processor, integrating a Kalman filter and a deep learning target recognition algorithm and a laser energy dynamic allocation module, which can adjust the spot diameter and power density in real time based on the target distance. Using a Raspberry Pi single-board computer, running a multi-sensor data fusion algorithm written in Python or C++, it can process multi-source data in real time, improve the accuracy of detection and countermeasure, reduce the false alarm rate to less than 10%, and significantly improve the reliability of detection.

[0025] The drone control program is as follows: # Enhanced anti-drone control program (Python3.9+) import time import numpy as np from gpiozero import PWMOutputDevice, AngularServo from scipy.optimize import minimize from multispectral import FLIRLepton, GlobalShutterCam # Multispectral hardware driver from mems_mirror import MEMSController # MEMS galvanometer driver library from radar_fusion import RadarProcessor # Radar data fusion module class TriLaserArray: """Control of a 10-laser array with a triangular stepped distribution""" def __init__(self, positions): self.lasers = [PWMOutputDevice(pin) for pin in positions] self.wavelengths = [808, 980, 1550] * 4 # Visible / near-infrared / short-wave infrared combination def fire(self, power_ratios): """Activate lasers of different bands in proportion (penetrate anti-filter)""" for idx, ratio in enumerate(power_ratios): self.lasers[idx].value = ratio * 0.01 # PWM duty cycle control class AdaptiveOptics: """Dynamic optical adjustment system (zoom component in the patent)""" def __init__(self): self.servo = AngularServo(17, min_angle=-45, max_angle=45) self.steps_per_degree = 0.1 # Stepper motor precision parameter def adjust_focus(self, distance): """Adjust the position of the telescopic cylinder according to the target distance ( Figure 4 structure)""" angle = np.arctan(0.5 / distance) # Geometric optics model self.servo.angle = angle * 180 / np.pi class AntiDroneV2: def __init__(self): # Initialize the hardware components described in the patent self.visible_cam = GlobalShutterCam(res=(1920,1080)) # Global shutter camera self.ir_cam = FLIRLepton(sensitivity=0.05) # Infrared thermal imager (≤50mK) self.radar = RadarProcessor(kalman_params="drone.json") # Radar with Kalman filter self.laser_array = TriLaserArray([12,16,20,21,22,23,24,25,26,27]) # GPIO pin assignment self.mems = MEMSController(rate=500, fov=45) # 500Hz scanning rate, ±45° field of view self.optics = AdaptiveOptics() # Zoom component control # Multi-sensor data fusion processor self.fusion_processor = self._init_fusion_model() def _init_fusion_model(self): """Load the multi-spectral fusion model (YOLOv5 improvement + Kalman filter) in the patent""" from tensorflow.lite import Interpreter model = Interpreter("multispectral_yolov5.tflite") # Quantized TFLite model return model def _dynamic_energy_allocation(self, distance): """Laser energy dynamic allocation algorithm (formula implementation) in the patent""" def energy_loss(x): spot_diameter = x[0] # Spot diameter (cm) power_density = 100000 / (distance**2 * spot_diameter) # Energy density formula return abs(power_density - 500000) # Target energy density 500000 J / m² res = minimize(energy_loss, [5], bounds=[(3,10)]) # Spot diameter 5cm ± 2cm return res.x[0], 100000 / (distance**2 * res.x[0]) # Return spot size and power ratio def attack_procedure(self, target_pos): """Precise Implementation of Steps S4 - S6 in the Patent""" # Step 4: Real - time Positioning and Optical Adjustment self.optics.adjust_focus(target_pos['distance']) self.mems.set_trajectory(target_pos['coordinates']) # MEMS galvanometer pre - aiming # Step 5: Laser Scattering and Focusing ( Figure 3 Structure) spot_size, power_ratio = self._dynamic_energy_allocation(target_pos['distance']) wavelength_ratios = [0.3,0.4,0.3] # 30% visible light / 40% near - infrared / 30% short - wave infrared self.laser_array.fire(wavelength_ratios) # Simultaneous multi - wavelength emission # Step 6: Continuous Ablation of CMOS (Patent Embodiment Parameters) start = time.monotonic() while time.monotonic() - start < 1.0: # Strict 1 - second irradiation self.mems.scan_pattern("raster") # Raster scan mode to cover the CMOS area self.optics.track_movement(target_pos) # Real - time tracking of target displacement def execute(self): """Main Running Logic (Full Process of Patent S1 - S6)""" if not self._self_test(): return while True: # Patent S2 - S3: Multispectral Detection and Classification radar_objects = self.radar.detect() ir_image = self.ir_cam.capture() vis_image = self.visible_cam.capture() # Multi - spectral fusion inference (section 5.3 of the patent) fused_data = np.concatenate([vis_image, ir_image], axis=-1) detections = self.fusion_processor.inference(fused_data) if detections['is_drone'] and radar_objects['speed']>5: self.attack_procedure(detections['position']) time.sleep(5) # Cooling interval in the patent if __name__ == "__main__": system = AntiDroneV2() system.execute()。

[0026] In this embodiment, the laser array starts ten 100W lasers simultaneously, and converges the lasers together through optical components to reach the power for ablating the CMOS of the drone. Multiple lasers emit multi - wavelength lasers simultaneously to prevent the filter. The spot diameter is dynamically adjusted by a two - dimensional galvanometer system to be ≤5 cm, and the CMOS sensor is ablated by continuous irradiation within 1 second. The laser is used to support the visible and infrared bands covering 800 - 1550 nm, and can penetrate common filters such as ND8. Through the adaptive power control APC, only the CMOS area is intensively irradiated, and the energy consumption per single strike is ≤500000 J, extending the battery life. Compared with the traditional laser interception technology, this work precisely strikes the core components of the drone, with higher efficiency. The response time of the laser counter - measure module is ≤2 seconds, and it can complete the precise strike on the drone in a short time. The laser power ≥900W, and it can ablate the CMOS sensor within 1 second, and the counter - measure efficiency is significantly higher than the traditional laser interception technology.

[0027] Embodiment 2 As Figures 1-4 shown, a counter - measure device for battlefield drone targets proposed by the present invention includes the above - mentioned counter - measure system for battlefield drone targets, and also includes a radar detection component, a single - board computer, a power supply, an adjustable base 1, a zoom component 2, a laser unit 3, and an optical camera; The zoom component 2 is rotatably arranged on the adjustable base 1; the zoom component 2 includes a housing 201, a rotating sleeve 202, a telescopic cylinder 203, an adjusting component 204, and a sliding column 205; the laser unit 3 includes a laser emitter 301, a condenser lens 302, a scattering light column 303, and a light shield 304; a sliding groove 2011 is arranged on the housing 201, and a guiding groove 2021 is arranged on the rotating sleeve 202; the laser emitter 301 is arranged on the housing 201, multiple condenser lenses 302 are provided and are respectively arranged in the housing 201 and the telescopic cylinder 203, the telescopic cylinder 203 is slidably arranged on the housing 201, the sliding column 205 is arranged on the telescopic cylinder 203 and is slidably arranged in the sliding groove 2011, the rotating sleeve 202 is rotatably arranged on the housing 201, and the sliding column 205 is slidably arranged in the guiding groove 2021; the adjusting component 204 is arranged on the housing 201 for driving the rotating sleeve 202 to rotate; the light shield 304 is arranged on the telescopic cylinder 203, and the scattering light column 303 is arranged on the light shield 304; ten laser emitters 301 are arranged in a triangular stepped distribution, and the condenser lens 302 adopts a MEMS galvanometer and can focus efficiently.

[0028] The resolution of the optical camera ≥ 1080P is linked with the sensitivity of the FLIR Lepton infrared thermal imager ≤ 50mK. The ten laser emitters 301 are arranged in a triangular stepped distribution and can be evenly distributed. When the laser rays are irradiated onto the condenser lens 302, they can be focused by the condenser lens 302 and then irradiated onto the scattering light column 303 together. The laser beam is irradiated linearly through the scattering light column 303, thereby converting the point into a line, increasing the irradiation range, and effectively attacking and damaging the drone. By driving the rotating sleeve 202 to rotate through the adjusting component 204, the rotating sleeve 202 pushes the sliding column 205 to slide in the sliding groove 2011, so as to adjust the length of the telescopic cylinder 203 extending out of the housing 201, and thus adjust the focusing range according to the distance of the drone, enabling the power irradiated onto the drone to be sufficient to ablate the CMOS of the drone. Through the adjustable base 1, the zoom component 2 can be oriented towards the flying drone and adjusted in real time according to the position of the drone.

[0029] A countermeasure method for battlefield drone targets, based on the above-mentioned countermeasure device for battlefield drone targets, the method includes the following steps: S1. After power-on, start the program self-check; S2. When a flying object enters the detection range, detect and identify the flying object through the detection module; S3. Judge whether the flying object is a drone according to the recognition result; S4. If it is determined to be a drone, the data processing and control module performs real-time positioning of the drone's position and controls the laser countermeasure module to face the drone; S5. The laser countermeasure module irradiates a laser beam towards the drone. The beam is scattered into a linear shape by the glass cylinder and then irradiated out. The light is focused by the focusing component so that the focused light still has enough energy to ablate the CMOS of the drone, causing the drone to lose video transmission; S6. When the drone is continuously irradiated by the laser countermeasure module, the CMOS sensor of the drone will be ablated, causing the drone to lose its vision.

[0030] In this embodiment, when a drone is detected, the data processing and control module controls the laser countermeasure module to face the drone, so as to continuously irradiate the CMOS sensor of the drone, thereby ablating and damaging the CMOS module of the drone, causing the drone to lose its vision, which can effectively target the fiber optic transmission ability of fiber optic FPV drones and can also target ordinary drones to ablate and damage the CMOS sensors of ordinary drones.

[0031] The above is only a preferred embodiment of the present invention and does not impose any form of limitation on the present invention; any ordinary technician in the industry can smoothly implement the present invention as shown in the accompanying drawings of the specification and described above; however, any minor changes, modifications and evolutions made by those skilled in the art within the scope of the technical solution of the present invention using the technical content disclosed above are equivalent embodiments of the present invention; at the same time, any equivalent changes, modifications and evolutions made to the above embodiments based on the essence of the present invention still fall within the protection scope of the technical solution of the present invention.

Claims

1. An anti-countermeasure system for battlefield unmanned aerial vehicle targets, characterized in that: Including, A detection module, used to scan and identify the type and behavior of the drone; A laser countermeasure module, used to burn out the CMOS sensor of the drone, so that the drone loses the function of graphic transmission; A data processing and control module, used to analyze the position of the drone according to the detection result of the detection module, and control the laser countermeasure module to attack the drone according to the analyzed position of the drone.

2. The anti-countermeasure system for battlefield UAV targets according to claim 1, wherein The detection module includes a radar detection component, an optical detection component, and a laser detection component.

3. The anti-countermeasure system for battlefield unmanned aerial vehicle targets according to claim 2, characterized in that The laser countermeasure module includes multiple groups of laser arrays covering visible light, near-infrared, and short-wave infrared bands.

4. The anti-countermeasure system for battlefield unmanned aerial vehicle targets according to claim 3, characterized in that, The laser countermeasure module further includes a MEMS galvanometer scanning part, supporting a scanning rate of 500Hz and a field of view angle of ±45°.

5. The anti-countermeasure system for battlefield UAV targets according to claim 4, characterized in that, The optical detection component includes a multispectral imaging unit, integrating a visible light global shutter camera and a short-wave infrared thermal imager, a multispectral image fusion algorithm, and using an improved YOLOv5 model to achieve full-spectrum target classification.

6. The anti-countermeasure system for battlefield UAV targets according to claim 1, wherein, The data processing and control module includes a multi-sensor data fusion processor, integrating a Kalman filter and a deep learning target recognition algorithm and a laser energy dynamic allocation module, and adjusting the spot diameter and power density in real time based on the target distance.

7. An anti-countermeasure device for battlefield UAV targets, including an anti-countermeasure system for battlefield UAV targets according to claim 6, characterized in that, It further includes a radar detection component, a single-board computer, a power supply, an adjustable base (1), a zoom component (2), a laser unit (3), and an optical camera; The zoom component (2) is rotatably arranged on the adjustable base (1); the zoom component (2) includes a housing (201), a rotating sleeve (202), a telescopic cylinder (203), an adjusting component (204), and a sliding column (205); the laser unit (3) includes a laser emitter (301), a condenser lens (302), a scattering light column (303), and a light shield (304); a sliding groove (2011) is arranged on the housing (201), and a guiding groove (2021) is arranged on the rotating sleeve (202); the laser emitter (301) is arranged on the housing (201), multiple condenser lenses (302) are arranged and respectively arranged in the housing (201) and the telescopic cylinder (203), the telescopic cylinder (203) is slidably arranged on the housing (201), the sliding column (205) is arranged on the telescopic cylinder (203) and slidably arranged in the sliding groove (2011), the rotating sleeve (202) is rotatably arranged on the housing (201), and the sliding column (205) is slidably arranged in the guiding groove (2021); the adjusting component (204) is arranged on the housing (201) to drive the rotating sleeve (202) to rotate; the light shield (304) is arranged on the telescopic cylinder (203), and the scattering light column (303) is arranged on the light shield (304); ten laser emitters (301) are arranged and distributed in a triangular stepped shape.

8. The anti-countermeasure device for battlefield UAV targets according to claim 7, wherein, The resolution of the optical camera ≥1080P is linked with the sensitivity of the FLIR Lepton infrared thermal imager ≤50mK.

9. The anti-countermeasure device for battlefield unmanned aerial vehicle targets according to claim 8, characterized in that, The laser includes a laser emitter and an adjustable base.

10. A countermeasure method for battlefield unmanned aerial vehicle targets, based on a countermeasure device for battlefield unmanned aerial vehicle targets according to claim 7, characterized in that, The method includes the following steps: S1. After power-on, start the program self-check; S2. After a flying object enters the detection range, the detection module detects and identifies the flying object; S3. Determine whether the flying object is a drone according to the recognition result; S4. If it is determined to be a drone, the data processing and control module performs real-time positioning on the position of the drone and controls the laser countermeasure module to face the drone; S5. The laser countermeasure module irradiates a laser beam towards the drone. The beam is scattered into a linear shape by the glass cylinder and then irradiated out, and the light is focused by the focusing component; S6. When the drone is continuously irradiated by the laser countermeasure module, the CMOS sensor of the drone will be ablated, causing the drone to lose its vision.

Images