Radar system for identifying material composition of aerial objects
AssigneeKing Fahd University of Petroleum and Minerals
InventorAmmar Ayad Alzaydi
Life of this patent
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Abstract
A system, method, and apparatus for identifying the material composition of aerial objects includes a transmitter configured to emit a white noise signal towards the aerial objects exhibiting a substantially flat power spectral density, and a receiver operable to capture a reflected signal from the aerial object. A signal processor, electrically coupled to the receiver, filters the reflected signal to generate a processed signal. An artificial intelligence processor analyzes the processed signal using a machine learning model to determine the material composition of the aerial object. A user interface displays the material identification results and facilitates system configuration.
Claims16
A radar system for identifying material composition of an aerial object, comprising:
- a transmitter configured to emit a white noise signal having a substantially flat power spectral density towards the aerial object;
- a receiver to capture a reflected white noise signal reflected from the aerial object,
- a signal processor to filter the reflected white noise signal and form a processed signal,
- an artificial intelligence processor configured to analyze the processed signal and identify a material composition of the aerial object based on a machine learning model;
- and
- a user interface that displays material identification results and provides system configuration controls.
A method for identifying a material composition of an aerial object, comprising:
- transmitting a white noise signal in a broadband signal comprising plurality of frequencies from a white noise radar transmitter towards the aerial object,
- capturing, by a receiver, a reflected white noise signal reflected from the aerial object,
- processing the reflected signal by a signal processor to filter the reflected signal and form a processed signal,
- analyzing the processed signal by an artificial intelligence processor to identify a material composition of the aerial object based on a machine learning model;
- and
- displaying material identification results on a user interface.
Dependencies are inferred from the claim text.