Fortem Technologies, Inc.

Bryan Alan Davis

Matthew Robertson Morin

James David Mackie

Nathan J Packard

Adam Eugene Robertson

Matthew Elliott Argyle

Jon Erik Knabenschuh

Justin Craig Huntington

Chester Parker Ferry

Brandon Robert Hicks

Tyler Drue Park

Daniel Glen Bezzant

Lyman Davies Horne

Mikko Valimaki

David Preece

Mitchell Kay Oldroyd

David Thimm

Bruce Alexander Carpenter

Eric Richard Grover

Systems, methods, and computer-readable media are described for compact radar systems. In some examples, a compact radar system can include a first set of transmit antennas, a second set of receive antennas, one or more processors, and at least one computer-readable storage medium storing computer-executable instructions which, when executed by the one or more processors, cause the radar system to coordinate digital beam steering of the first set of transmit antennas and the second set of receive antennas, and coordinate digital beam forming with one or more of the second set of receive antennas to detect one or more objects within a distance of the radar system.

Compact radar system

Systems, methods, and computer-readable media are described for combining digital and analog beamsteering in a channelized antenna array. In some examples, a method can include receiving one or more signals at each of a plurality of groups of antenna elements, each group of antenna elements defining a respective channel from a plurality of channels, and steering, by each respective channel and using analog steering, the one or more signals in a respective direction to yield a steered analog signal pattern. The method can further include converting the steered analog signal pattern associated with each respective channel into a respective digital signal and, based on the respective digital signal, generating, using digital steering, digital signal patterns steered within the steered analog signal pattern associated with the respective digital signal.

System and method for a multi-channel antenna system

A method and system device provides a unique object identification process by obtaining information from one or more of radar signals, infrared signals, optical signals, audio signals, and other signals. The method includes continuously receiving object data at the device, applying by a machine learning system, a set of parameters to process the object identification and confidence level, and outputting or updating the object identification, confidence level, and actionable recommendations. The radar data includes a Doppler signature having a wrapped signal due to a sampling rate of the radar system. The Doppler signature is used to train the machine learning system to identify drone types.

System and method for drone and object classification

A system having an array of antennas with particular weights for signals associated with different groups of antennas. The array of antennas includes a first group of antennas positioned in a middle portion of the array of antennas, a second group of antennas positions at one or more edges of the array of antennas, and a third group of antennas positioned at one or more corners of the array of antennas. The system includes a control module configured to control each respective and tenant in the array of antennas. The control module can further be configured to weight the first group of antennas a first weighting amount, to weight the second group of antennas a second weighting amount and to weight the third group of antennas a third weighting amount. The weighting improves the system's ability to reduce ambiguities in an angle of arrival associated with the object.

System and method for radar disambiguation techniques

Systems, methods, and computer-readable media are described using radar systems to avoid vehicle collisions. An example radar system can include antennas mounted on an aircraft, where each antenna has a different orientation facing a different direction away from the aircraft. The radar system can include one or more processing devices and a computer-readable storage medium storing instructions which, when executed by the one or more processing devices, cause the radar system to coordinate digital beam steering and digital beam forming with the antennas to produce a radar coverage area that includes a portion of an airspace around the aircraft; detect, based a signal transmitted by the antennas using the digital beam steering and digital beam forming, an object within the radar coverage area; and generate collision avoidance information including an indication of the object detected within the radar coverage area and/or an instruction for avoiding a collision with the object.

Using radar sensors for collision avoidance

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Salt Lake City, UT, United States of America

Bryan Alan Davis