Drone detection using multi-sensory arrays
View Patent ↗A system and method for detection of an aerial drone in an environment includes a baseline of geo-mapped sensor data in a temporal and location indexed database formed by (i) using at least one sensor to receive signals from the environment and converting into digital signals for further processing; (ii) deriving time delays, object signatures, Doppler shifts, reflectivity, and/or optical characteristics from the received signals; (iii) geo-mapping the environment using GNSS and the sensor data; and (iv) logging sensor data over a time interval, for example 24 hours to 7 days. Live sensor data can be then be monitored and signature data can be derived by computing at least one parameter such as direction and signal strength. The live data is continuously or periodically compared to the baseline data to identify a variance, if any, which may be indicative of a detection event.
1. A method for detection of an aerial drone in an environment, the method comprising the steps of:
(a) building a baseline of geo-mapped sensor data in a temporal and location indexed database by:
(i) using at least one sensor to receive signals from the environment and converting into digital signals for further processing;
(ii) deriving time delays, object signatures, Doppler shifts, reflectivity, and/or optical characteristics from the received signals;
(iii) geo-mapping the environment using GNSS and the sensor data; and
(iv) logging sensor data over a time interval;
(b) gathering live sensor data and computing at least one parameter and derive appropriate signature data;
(c) comparing the live processed data to the baseline data to identify a variance, if any;
(d) identifying and/or locating a drone if the variance is greater than a pre-determined threshold;
wherein live sensor data is first gathered omnidirectionally, and, upon a possible drone identification event, narrowing the sensor data to a quadrant or sector containing the possible drone, and using a more sensitive sensor or data processing method, confirm the drone identification event.
2. The method of claim 1 wherein the sensor data is narrowed first to a quadrant or sector, and then to a narrower range containing the possible drone.
3. The method of claim 1 wherein the at least one sensor comprises a combination of passive and active sensors.
4. The method of claim 1 wherein the at least one parameter comprises direction and signal strength.
5. The method of claim 1 wherein the time interval is 24 hours to 7 days.
6. A system of for detection of an aerial drone in an environment, the system comprising a memory device that stores a set of instructions and at least one processor in communication with the memory for executing the instructions to a method comprising the steps of:
(a) building a baseline of geo-mapped sensor data in a temporal and location indexed database by:
(i) using at least one sensor to receive signals from the environment and converting into digital signals for further processing;
(ii) deriving time delays, object signatures, Doppler shifts, reflectivity, and/or optical characteristics from the received signals;
(iii) geo-mapping the environment using GNSS and the sensor data; and
(iv) logging sensor data over a time interval;
(b) gathering live sensor data and computing at least one parameter such as direction and and derive appropriate signature data;
(c) comparing the live processed data to the baseline data to identify a variance, if any;
(d) identifying and/or locating a drone if the variance is greater than a pre-determined threshold;
(e) wherein live sensor data is first gathered omnidirectionally, and, upon a possible drone identification event, narrowing the sensor data to a quadrant or sector containing the possible drone, and using a more sensitive sensor or data processing method, confirm the drone identification event.
7. The system of claim 6 wherein the at least one parameter comprises direction and signal strength.
8. The system of claim 6 wherein the time interval is 24 hours to 7 days.
9. The system of claim 6 wherein the at least one sensor comprises a combination of passive and active sensors.