Patent ID: 11867833
Assignee: THE UNIVERSITY COURT OF THE UNVERSITY OF ST. ANDREWS
Field: Measurement (Instruments)
Classification: CPC G | IPC G

Claim 20:
21. A method for training a procedure for classifying objects or classes of objects, the method comprising:
obtaining training data for each of a plurality of different inanimate objects or classes of inanimate objects, wherein the training data for each inanimate object or class of inanimate objects comprises:
radar signals reflected from a field of view of a radar unit for receiving raw radar signals, whereby the field of view includes the inanimate object or inanimate objects in the class of inanimate objects, or
at least one feature extracted from the raw radar signals; and

training a procedure for classifying on the training data, wherein the procedure is trained to distinguish between objects or classes of objects from a predetermined list of objects or classes of objects having at least one of different materials, different internal structure, or a different number of stacked objects based on radar signals reflected by an inanimate object at a distance of less than 1 m,
wherein the inanimate object is an inanimate solid object or a liquid, and wherein the method further comprises:
transmitting by the radar unit a frequency-swept signal;
the receiving the raw radar signals by the radar unit performed using a plurality of receivers and is in response to the frequency-swept signal, each receiver at a different position, and the raw radar signals comprise a plurality of channels each corresponding to a field of view of a respective one of the receivers,
dividing each raw radar signal into a plurality of time bins, such that each time bin corresponds to a respective frequency value or range, and using an amplitude of the raw radar signals for each timeline and channel as a respective feature, thereby to obtain a set of time-binned features from the raw radar signals; and
the classifying is performed by applying the machine learning classifier to the time-binned features obtained from the raw radar signals for the fields of view of the plurality of receivers.