Dedrone Holdings, Inc.

Kai Baumgart

Henning Meyer

Rene Seeber

David Prantl

Markus Schoeler

Ingo Seebach

Christian Scheibe

Nico Otterbach

Systems, methods, and apparatus for identifying and tracking UAVs including a plurality of sensors operatively connected over a network to a configuration of software and/or hardware. A computing device can tune the RF receiver to a particular frequency set. The computing device can receive RF signal data corresponding to a plurality of RF signals via the RF receiver. The computing device can detect a plurality of signal characteristics corresponding to the plurality of RF signals from the RF signal data. The computing device can identify a matching RF signal by comparing the RF signal data to a plurality of known RF signals. The computing device can apply a predetermined rule set to the matching RF signal to determine at least one action to take.

Systems, methods, apparatuses, and devices for identifying, tracking, and managing unmanned aerial vehicles

Systems, methods, and apparatus for performing an action when an aggregated confidence measure. Data is received from a first sensor proximate to a particular air space. Data is also received from a second sensor and a third sensor proximate to the particular air space. The data from the first sensor, second sensor, and third sensor are each analyzed to determine respective confidence measures that a UAV is within the particular air space. The first sensor corresponds to a first type of data, the second sensor corresponds to a second type of data, and the third sensor corresponds to a third type of data. The confidence measures from each sensor are aggregated together to generate a combined confidence measure indicating a possible presence of the UAV within in the particular air space. When the combined confidence measure exceeds a threshold, an action is taken.

Systems and methods for detecting radio frequency ('RF') signals and corresponding origination locations are disclosed. An RF sensor device includes a software-defined radio and an antenna pair for receiving RF signals. Furthermore the RF sensor device may include a processing unit for processing/analyzing the RF signals, or the processing unit may be remote. The system calculates a phase difference between an RF signal received at two separate antennas of an antenna pair. The phase difference, the distance between the antennas, and the frequency of the RF signal are used for determining the origination direction of the RF signal. In various embodiments, the origination direction may indicate the location of a UAV controller or base station. The software-defined radio may include more than one antenna pair, connected to multiplexers, for efficiently scanning different frequencies by alternating active antenna pairs. Moreover, the system may execute packet-based processing on the RF signal data.

Systems and methods for detecting unmanned aerial vehicles via radio frequency analysis

Systems, methods, apparatuses, and devices for identifying, tracking, and deterring UAVs via ADS-B signals are disclosed. The system leverages a plurality of sensors operatively connected over a network to a configuration of software and/or hardware for detecting approaching UAVs. In response to detecting approaching UAVs, the system generates and propagates ADS-B signals to be received by the UAVs for deterring the UAVs from entering a particular airspace, wherein the particular airspace is indicated by data encoded within the ADS-B signal. According to particular aspects of the present disclosure, the ADS-B signals can be propagated continuously or on-demand. Furthermore, the ADS-B signals may be generated based on real-time GPS data, or the ADS-B signals may be generated based on 'spoofed' or hard-coded location data, for disguising a particular ADS-B signal as being transmitted from a different location.

Systems, methods, apparatuses, and devices for identifying, tracking, and deterring unmanned aerial vehicles via ADS-B signals

Systems, methods, and apparatus for identifying and tracking UAVs including a plurality of sensors operatively connected over a network to a configuration of software and/or hardware. Generally, the plurality of sensors monitors a particular environment and transmits the sensor data to the configuration of software and/or hardware. The data from each individual sensor can be directed towards a process configured to best determine if a UAV is present or approaching the monitored environment. The system generally allows for a detected UAV to be tracked, which may allow for the system or a user of the system to predict how the UAV will continue to behave over time. The sensor information as well as the results generated from the systems and methods may be stored in one or more databases in order to improve the continued identifying and tracking of UAVs.

Growing community of inventors

Kassel, Germany

Kai Baumgart