Anti Drone Jamming Techniques
This page presents innovative patents and research papers for counter-drone systems, through:
- RF Interference and Communication Disruption – Frequency band based interference covering hopping channels, OFDM delayed signal transmission, directional antenna systems for multi-UAV disruption, and selective video recording inhibition.
- Multi-Sensor Detection and Tracking Systems – Networked sensor arrays with video, audio, Wi-Fi, and RF integration, cross-bracket mounted multi-camera systems with infrared and electromagnetic capabilities, and wireless acoustic sensor networks with software-defined radio platforms.
- Signal Analysis and Protocol Identification – Multi-node RF signal analysis extracting communication protocols, frequency hopping parameter estimation using RANSAC algorithm, and multi-frequency datalink verification with ground-remote module configurations.
- Electromagnetic and Physical Neutralization – Remote-activated electromagnetic pulse generation, CRPA neutralization using passive propagation mirrors, amplified control signal reflection, and multi-sensor data fusion.
- Integrated Handheld and Portable Systems – Stacked multiband antenna with reflector plate configuration, integrated antenna jammer display devices with coordinate sharing, and directional interference base stations for authorized unauthorized differentiation.
1. System and Method for Low-Altitude Drone Management with Integrated Communication and Directional Interference Base Stations
ZHONG CHUAN, 2025
A method and system for managing low-altitude drone safety using integrated communication and interference base stations. The system enables real-time monitoring and control of drones through cellular network coverage, while also providing directional interference capabilities to prevent unauthorized drone operations. Authorized drones transmit flight data through the network, while unauthorized drones are detected and disrupted through interference signals. The system integrates communication and perception functions, enabling simultaneous coverage and interference management.
2. Device and Method for Generating Frequency Band-Based Interference Signal for Drone Communication Disruption
SHENZHEN AWP TECH CO LTD, 2025
A method and device for countering drones that generates an interference signal covering all frequency hopping channels used by the drone for communication with its remote control terminal. The interference signal is generated based on the frequency bands of the hopping channels, ensuring that the drone's communication signals are disrupted regardless of the channel it uses.
3. Datalink Communications System with Multi-Frequency Signal Verification for Drones
CALECTIVE LLC, 2024
A tamper-resistant datalink communications system for drones that detects and prevents unauthorized interference and hacking. The system uses a ground-based module and a remote-mounted module, each with multiple transmitters and receivers operating at different frequencies, to verify signal integrity and authenticity. The ground module converts and duplicates signals, while the remote module compares and restores the original signal, enabling secure control of drone actuators.
4. Method and Apparatus for CRPA Neutralization in UAVs Using Passive Propagation Mirrors and Reduced Interference Signal Sources
AGENCY FOR DEFENSE DEVELOPMENT, 2023
A method and apparatus for neutralizing controlled reception pattern antennas (CRPA) in unmanned aerial vehicles (UAVs) using fewer interference signal sources than the conventional degree of freedom (DOF) condition. The method employs passive propagation mirrors to extend the response area of the interference signals, enabling neutralization of CRPA-equipped UAVs with fewer high-power RF transmitters than the DOF condition. The apparatus includes an interference signal generator and a passive propagation mirror, which can be distributed across multiple locations to neutralize CRPA-equipped UAVs.
5. Networked Sensor System for UAV Detection and Countermeasure Coordination
DEDRONE HOLDINGS INC, 2023
System for detecting, tracking, and managing unmanned aerial vehicles (UAVs) using a network of sensors and portable countermeasure devices. The system employs video, audio, Wi-Fi, and RF sensors to detect and identify UAVs, and a central processing unit to analyze sensor data and determine UAV locations. When a UAV is detected, the system transmits location information to nearby portable countermeasure devices, which can then generate and transmit disruptive signals to deter the UAV. The system also enables real-time tracking and monitoring of UAVs, and can store information on known UAVs to improve detection and management capabilities.
6. Method for Selective Interference of OFDM Signals in Unmanned Aerial Vehicles via Delayed Signal Transmission
ROHDE & SCHWARZ, 2022
Jamming an OFDM-operated unmanned aerial vehicle (UAV) that operates in restricted airspace by selectively interfering with its communication signals. The method involves generating a delayed version of the UAV's OFDM signal, which is then transmitted through the same frequency band. This interference causes the UAV to lose its intended communication link, preventing unauthorized operation in restricted areas.
7. Networked Sensor and Countermeasure System for UAV Detection and Signal Disruption
DEDRONE HOLDINGS INC, 2022
System for detecting, tracking, and managing unmanned aerial vehicles (UAVs) using a network of sensors and portable countermeasure devices. The system employs a combination of video, audio, Wi-Fi, and radio frequency sensors to detect and identify UAVs, and transmits location and communication data to portable countermeasure devices. These devices, equipped with directional antennas and signal disruption components, can generate and transmit countermeasures to disrupt UAV operations. The system enables real-time tracking and management of UAVs, with the ability to distinguish between malicious and benign UAVs.
8. Multi-Node RF Signal Analysis System for Drone Communication Protocol Identification
SKYSAFE INC, 2021
Detecting and monitoring unauthorized drones using a multi-node system that employs RF signal analysis to identify drone communication protocols. The system processes RF signals received from multiple nodes, extracts and decodes communication protocols, and extracts unique drone identifiers. This enables the system to determine drone presence and characteristics, including flight duration, velocity, GPS coordinates, and video feed, even when the drone controller is not known. The system can operate in both centralized and decentralized configurations, with nodes cooperating to detect and respond to drone activity.
9. Cross-Bracket Mounted Multi-Camera System with Infrared and Electromagnetic Interference Capabilities for UAV Detection and Tracking
SHENZHEN INST INFORMATION TECH, 2021
A multi-camera system for detecting and tracking unmanned aerial vehicles (UAVs) without license, comprising four high-definition cameras with infrared function mounted on a cross-shaped bracket. The system includes an image analysis module that analyzes video feeds from the cameras to track and identify UAVs, and a control unit that enables automated pan-tilt and electromagnetic interference capabilities to neutralize unauthorized UAVs.
10. Wireless Acoustic Sensor Network and Software-Defined Radio Platform for Drone Detection and Control
EMBRY RIDDLE AERONAUTICAL UNIVESRITY INC, 2021
Detection and control of unauthorized drones using a wireless acoustic sensor network and software-defined radio (SDR) platform. The system employs a distributed acoustic sensor network to identify and track drones, while an SDR platform employs machine learning to decode drone telemetry protocols. When a drone is detected, the SDR platform can inject control commands or transmit video warnings to the drone's remote control, enabling remote eviction of unauthorized drones.
11. Method for Drone Detection and Mitigation Using Frequency Hopping Parameter Estimation via RANSAC Algorithm
SKYSAFE INC, 2020
A method for detecting and mitigating drones using frequency hopping parameter estimation. The method employs a random sample consensus (RANSAC) algorithm to estimate frequency hopping parameters from a small set of samples, enabling real-time detection and mitigation of drones with low implementation complexity. The method iteratively selects samples, estimates parameters, constructs models, and classifies samples as inliers or outliers to identify drones.
12. Unmanned Aerial Vehicle with Remote-Activated Electro-Magnetic Pulse Generation Device
THE UNITED STATES OF AMERICA AS REPRESENTED BY THE SECRETARY OF THE NAVY, 2020
An unmanned aerial vehicle (UAV) with an attached electro-magnetic pulse (EMP) generation device capable of disabling multiple approaching UAVs. The device is activated remotely by a pilot and generates a high-intensity EMP burst that disables the electronics of incoming UAVs, rendering them inoperable.
13. Method for UAV Detection and Neutralization Using Multi-Sensor Data Fusion and Capture Mechanisms
YOON SUNG WOOK, 2020
Method for identifying and neutralizing low-altitude unmanned aerial vehicles (UAVs) in airspace below 20,000ft. The system detects and identifies UAVs through a combination of radar, RF, sound, and communication signals, and verifies the identity through gyro sensor data and shape recognition. When a hostile UAV is detected, the system captures and neutralizes it using nets or parachutes, and transmits the target image to ground control centers for further analysis.
14. Electromagnetic Radiation System with Directional Antenna for Multi-UAV RF Disruption
ENTPR CONTROL SYSTEMS LTD, 2020
A system and method for disrupting Radio Frequency (RF) communications of multiple unmanned aircraft (UAVs) using a single source of electromagnetic radiation. The system comprises a directional antenna, a transmitter, and a drive system, which can be controlled to rapidly move the antenna to track and jam multiple UAVs simultaneously. The method involves generating a signal waveform to disrupt RF communication of UAVs, and using a same source of electromagnetic radiation to irradiate multiple UAVs with a burst of electromagnetic radiation.
15. UAV Jamming System with Selective Video Recording Inhibition and Function Preservation
KHECHENI SYLIA, 2020
Apparatus, system, and method for selectively jamming unmanned aerial vehicles (UAVs) to prevent video recording while maintaining control and navigation functions. The system includes a wireless communication chipset, scan and detection circuit, jamming circuit, and controller that identifies UAVs and selectively disables video recording capabilities while allowing other functions to continue. The system can be integrated with Wi-Fi communication and controlled through a wireless device.
16. Signal Interference Device with Amplified Control Signal Reflection for UAV Disruption
RHEINMETALL AIR DEFENCE AG, 2020
A signal interference device for defense against unmanned aerial vehicles (UAVs) that receives and amplifies control signals from the UAV, then transmits them back to the UAV as interference, causing the UAV to malfunction or return to its starting point.
17. Handheld Jamming Device with Stacked Multiband Antenna and Reflector Plate Configuration
TRD SYSTEMS PTE LTD, 2025
A compact handheld jamming device for disrupting unmanned aircraft systems (UAS) that employs a stacked multiband antenna arrangement. The device features a reflector plate with a plurality of antennas mounted thereon, each tuned to transmit at a different centre frequency. The antennas are arranged in a specific configuration where lower-frequency antennas are positioned between higher-frequency antennas, enabling effective multiband jamming while maintaining a compact form factor.
18. Handheld Device with Integrated Antenna and Jammer for UAV Communication Disruption in Restricted Airspaces
DEDRONE HOLDINGS INC, 2025
Handheld device to jam UAV communications in restricted airspaces. The device has an antenna, jammer, display, and computing component. It determines if a UAV is in the area, calculates range to jam, monitors distance, and when close, jams the UAV. The display shows distance, maps, and overlays. The device can coordinate with other systems like UAV trackers.
19. Signal Relay System Utilizing Attritable Unmanned Vehicles with Retransmission and Spoofing Capabilities
BRENDAN E CLARK, 2024
Reducing detectability of wireless communications by using retransmission techniques to chain signals through attritable unmanned vehicles. This involves deploying retrans vehicles like drones with powerful transmitters to relay signals between low-power emitters and recipients. This hides the originating device's location and reduces its signature compared to direct transmission. The retrans vehicles can be cached, launched on demand, or preprogrammed routes. They can also spoof enemy radars to further obscure their position. The emitters can calibrate signals for specific retrans vehicles based on known locations and capabilities.
20. Drone Defense System with Remote Control Signal Override and Telemetry-Based Command Acquisition
SECURITON GMBH, 2024
Drone defense system that can take over control of hostile drones without physically intercepting them. The system uses sensors to detect drones and their remote controls. When a drone is detected, the defense system sends signals to disconnect the remote control and take over drone control. This can be done by sending commands to change control channels or by reading telemetry data. The defense system can also align cameras to the detected drone position and capture images for verification. The goal is to safely take over hostile drones without putting bystanders at risk.
21. Dynamic Regulation System for Segregating Drone and Non-Drone Communication Sessions
HUAWEI TECH CO LTD, 2024
Reducing drone attacks by limiting malicious non-drone communications. The method restricts non-drone services to drone operations and controls drone operations to prevent malicious communications from compromising drone resources. It achieves this by dynamically regulating drone and non-drone sessions, with specific restrictions for drone communications and control plane operations. The approach prevents malicious non-drone communications from disrupting drone operations while preserving drone resources.
22. Controller for Countermeasure System with Effector Field Mapping and Automatic Frequency Alignment
STEELROCK TECHNOLOGIES LTD, 2023
A controller for a counter measure system against unmanned aerial vehicles (UAVs) that enables effective management of multiple counter measure effectors. The controller determines the field of effect of each effector based on position and orientation data, correlates this with environmental data, and provides a display of the affected area. The controller also enables automatic frequency setting of the effectors to match the target UAV's communication frequency.
23. System for Inducing Symmetrical Interference on UAV Multi-Element Array Antennas via Distributed Radio Sources
AGENCY DEFENSE DEV, 2023
Apparatus and method for blocking navigation satellite signals to illegal unmanned aerial vehicles (UAVs) equipped with multi-element array antennas. The system uses distributed radio interference sources that selectively activate at positions symmetrical to navigation satellites, inducing symmetrical interference that prevents the UAV from receiving navigation signals. The system tracks the UAV's location and flight trajectory to optimize interference source activation and maximize navigation signal degradation.
24. Airborne Electromagnetic Wave Device with Electrically Tunable Filter for Interference Mitigation in Satellite Communication Systems
CHINA ELECTRONICS TECHNOLOGY AVIONICS CO LTD, 2023
An airborne electromagnetic wave device, anti-interference system, and method for resisting interference in aeronautical satellite communication systems. The device includes an electrically tunable filter on its transmission channel, controlled by a baseband processor to increase attenuation of signals within an identified interfered band. The system comprises two airborne devices and a controller that calculates the interfered band based on the operating frequency and bandwidth of the interfering device, and triggers the interfered device to control its electrically tunable filter to filter out signals within the interfered band.
25. UAV Detection via Frequency Spectrum Analysis of Wireless Network Packet Arrival Intervals
RESEARCH ELECTRONICS INTERNATIONAL LLC, 2022
Detecting unmanned aerial vehicles (UAVs) using frequency spectrum analysis of wireless network traffic. The method involves capturing network packets over a wireless transmission, analyzing the time intervals between packet arrivals using Fourier transforms, and looking for peaks indicating constant-rate traffic patterns that are characteristic of UAV datagrams. This allows identifying UAV communications among the network traffic without needing to intercept or decrypt the packets. The analysis can be further refined by filtering, sorting, and direction finding techniques.
26. Remote UAV Operation Disruption via Flight Parameter and System Function Control
D-FEND SOLUTIONS AD LTD, 2022
Method for disrupting operation of an unmanned aerial vehicle (UAV) by remotely controlling its flight parameters, communication protocols, and system functions, including altering flight paths, disabling stealth modes, interrupting communication with the remote controller, and modifying system settings, without physical intervention or collateral damage.
27. Synchronized Multi-Jammer System with Coordinated Detection and Jamming Phases
ROHDE & SCHWARZ, 2022
A jamming system with multiple synchronized responsive jammers that operate in coordinated detection and jamming phases to effectively cover a large area, preventing mutual interference between jammers. Each jammer comprises a detector, exciter, and state machine that defines its operational phases, with the state machines synchronized to ensure coordinated operation. The system ensures that detection and jamming phases do not overlap between jammers, with a guard time between phases to prevent direct switching.
28. Radio Wave Wall-Based UAV Detection System with Signal Strength Analysis
ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTE, 2022
A method and device for detecting illegal unmanned aerial vehicles (UAVs) using a radio wave wall. The method involves generating a radio wave wall between multiple reconnaissance UAVs using wireless signals transmitted and received between them, and detecting an illegal UAV by analyzing the radio signal strengths received from the reconnaissance UAVs. The device includes a processor configured to execute instructions for generating the radio wave wall and determining UAV presence based on signal strengths.
29. Jamming Signal Generator with Integrated Signal Strength Measurement and Jamming-to-Signal Ratio Calculation
AGENCY FOR DEFENSE DEVELOPMENT, 2022
A jamming signal generating apparatus and method for measuring signal strength of a jamming signal during jamming, enabling continuous electronic attack while estimating the jamming-to-signal ratio (JSR). The apparatus comprises a signal analyzer, RF source, frequency up converter, jamming transmission signal measurement device, and transmission controller. The method involves measuring and analyzing radar reception signals, receiving jamming and video signals, measuring jamming signal strength, and calculating JSR.
30. Telescoping Mast Assembly with Integrated Drone Tracking and Countermeasure Systems
Michael Schultheis, 2021
Disabling a flying drone utilizing the drone defense system. The system includes a mast assembly having a telescoping mast, a housing having a flying drone tracking system and a flying drone countermeasure system disposed therein, and a computer that operably communicates with the drone tracking system and the flying drone countermeasure system.
31. Drone Defense System with Directional Antenna Jamming and GPS Spoofing Capabilities
Thorsten Chmielus, 2021
A drone defense system that utilizes radio-based jamming to control drone flight paths. The system employs a directional antenna to determine drone position and transmit control signals. A receiver detects these signals and adjusts its position to intercept the control commands. By incorporating GPS spoofing, the receiver can accurately determine drone position even when GPS signals are disrupted. The system can be configured with multiple spatially distributed jammer stations to cover a wide area, allowing simultaneous control of multiple drones.
32. System and Method for UAV-Mounted Electromagnetic Pulse and Radio Frequency Interference Target Disruption
PRIEST JOSHUA, 2021
A system and method for disrupting a target Unmanned Aerial Vehicle (UAV) using an electromagnetic pulse (EMP) transmitter mounted on a second UAV. The second UAV tracks the target UAV using sensors and directs the EMP at the target UAV to disrupt its flight control systems, causing it to lose altitude and land safely without crashing. The system can also employ radio frequency interference (RFI) to disrupt communication with the target UAV.
33. Unmanned Aerial Vehicle Detection and Verification System Utilizing Unique Unicast Communication Protocol
ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTE, 2021
Detecting and verifying the legitimacy of flight operations of unmanned aerial vehicles (UAVs) in airspace. The system employs a unique unicast communication protocol to enable precise location determination and identification of UAVs, while preventing collisions through concurrent transmission. When a UAV detects the system, it initiates a response sequence to confirm its identity and flight parameters, while the system verifies the UAV's legitimacy through its unique identifier. The system continuously monitors UAV activity, preventing collisions through concurrent transmission and real-time verification.
34. Microwave Radar System with Trapezoidal Modulation and Frequency Signature Differentiation for UAVs
SZ DJI TECHNOLOGY CO LTD, 2021
A microwave radar system for unmanned aerial vehicles (UAVs) that eliminates interference between multiple radar systems operating in close proximity. The system uses trapezoidal modulation waveforms with fixed frequency delays to create a unique signature for each radar, allowing the radar controller to distinguish between echo signals and interference signals based on frequency characteristics. The system can also detect burst interference signals by analyzing signal amplitude and frequency changes.
35. Method for Synchronized Side Lobe Jamming Using Pulse Repetition Interval Analysis
AGENCY DEFENSE DEV, 2020
A method for electronic attack that synchronizes side lobe jamming with radar pulses to evade detection. The method analyzes the radar's pulse repetition interval (PRI) to determine if it is predictable, and if so, generates side lobe jamming signals at specific angles and distances to match the radar's pulse timing. The jamming signals are transmitted at a predetermined delay after receiving a side lobe signal, allowing the jammer to synchronize with the radar's main lobe pulses and evade detection.
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