Signal signature detector and classifier
AssigneeDrone Go Home, LLC dba AERODEFENSE
InventorsHadi Kasasbeh, Ziang Gao, Taylor Sinatra, Linda Ziemba
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AssigneeDrone Go Home, LLC dba AERODEFENSE
InventorsHadi Kasasbeh, Ziang Gao, Taylor Sinatra, Linda Ziemba
Estimating the term…
A Drone Detection System (DDS) listens passively to the Radio Frequency (RF) spectrum for a monitored area. If a drone-like signal is detected, the system alerts for the existence of a drone in the monitored area. This detection system may consist of multiple interconnected software and/or hardware-modules. Each module is responsible for extracting a certain physical feature (i.e., physical layer features) of the received signal (e.g. duty-cycle, bandwidth, power, center frequency, envelope in the time and frequency domains, type of modulation, frame size, etc.). The modular design of the system makes it easier to expand by adding more modules that can measure more physical features of the received signal. If the detector detects a signal with certain physical features, it may alert the existence of this signal along with its physical features and name of the most similar known signal from the library.
A Drone Detection System (DDS) to detect Radio Frequency (RF) drone-like signals based on their physical features and their similarity to known drone signals stored in the detector's library. The detector may be designed to be comprised of individual modules interconnected to form the whole system. Each module is used to extract a certain feature of the received signal. The extracted features may be used at the end of each detection cycle to classify, report, and alert if the received signal is found to have similar features to a drone-like signal.
A coarse and fine center frequency tuning method is proposed. The coarse tuning is used to scan the large spectrum searching for a signal of interest (e.g. drone-like signal). Once a signal is found, the fine tuning capability is used to center the invention's center frequency to the center of the signal of interest.
Dependencies are inferred from the claim text.