The present disclosure relates to digital signal processing architectures, and more particularly to a modular object-oriented digital system architecture ideally suited for radar, sonar and other general purpose instrumentation which includes the ability to self-discover modular system components, self-build internal firmware and software based on the modular components, sequence signal timing across the modules and synchronize signal paths through multiple system modules.

Synthetic aperture radar transmit and receive antenna systems and methods of transmitting and receiving radar signals are disclosed. In one embodiment, a transmit and receive antenna system includes a transmit antenna array configured to transmit a plurality of radio frequency transmit signals, the transmit antenna array including a plurality of patch antenna elements mounted to a printed circuit board, each patch antenna element belonging to a subarray, and one or more power amplifiers, each power amplifier feeding a subarray of the patch antenna elements, and a reflectarray receive antenna configured to receive radio frequency signals including a plurality of reflectarray antenna elements mounted to a printed circuit board, at least one antenna feed configured to receive radio frequency signals reflected from the plurality of reflectarray antenna elements, and at least one low noise amplifier electrically connected to the at least one antenna feed.

According to one aspect, a radar system suitable for use in an autonomous vehicle is configured to provide a relatively high resolution in azimuth. The radar system may include multiple antenna blocks which may each include a transmitter and a receiver, and may be provided in an array, e.g., in a horizontal array. Each radar block may define an airgap therein which includes azimuth power dividers, elevation power dividers, vertical power dividers, and open-ended waveguides.

A method for estimating object angle with high-angle analysis using a large-scale MIMO array antenna, wherein the array antenna receives the input signal matrix which is the transmission or reflection signal of at least one object. The method includes: step S1: inputting the input signal matrix to a first calculation model to obtain a target object amount and a rough object angle with respect to the location thereof; step S2: inputting the object amount and the input signal matrix to a second calculation model for singular value decomposition to obtain a noise matrix; step S3: obtaining an iteration angle range from the rough angle in S1; step S4: inputting the plurality of pursuit matrices corresponding to the iteration angle range and the noise matrix to a third calculation model for angle range iteration, thereby acquiring an accurate object angle.

Aspects of the invention provide improvements to analyze data collected by a radar system. One of the systems includes a phased array module configured to transmit a sequence of pulses to an environment according to a pre-determined pattern. A data analysis system constructs an image based on returned signals from a single point received by the phased array module, and determines one or more characteristics of a target object in the environment based on the image constructed from the returned signals from the single point.

A universal transmit-receive (UTR) module for phased array systems comprises an antenna element shared for both transmitting and receiving; a transmit path that includes a transmit-path phase shifter, a driver, a switch-mode power amplifier (SMPA) that is configured to be driven by the driver, and a dynamic power supply (DPS) that generates and supplies a DPS voltage to the power supply port of the SMPA; and a receive path that includes a TX/RX switch that determines whether the receive path is electrically connected to or electrically isolated from the antenna element, a bandpass filter (BPF) that aligns with the intended receive frequency and serves to suppress reflected transmit signals and reverse signals, an adjustable-gain low-noise amplifier (LNA), and a receive-path phase shifter. The UTR module is specially designed for operation in phased array systems. The versatility and wideband agility of the UTR module allows a single phased array system to be designed that can be used for multiple purposes, such as, for example, both radar and communications applications.

An occupant detection device may be configured to detect an occupant in a space where the occupant detection device is installed. The occupant detection device may include an occupant detection circuit that is configured to determine locations of one or more occupants in the space. The occupant detection device may also include a low-power detection circuit that is configured to indicate an occupancy or vacancy condition in the space. The occupant detection device may include a control circuit that is configured to determine that the low-power detection circuit indicates that there are no occupants within the space. The control circuit may determine that there is movement in an occupant map or a region of interest (ROI) as indicated by the locations of the one or occupants as determined by the occupant detection circuit. The control circuit may configure masked regions around the locations of the movement, and store the masked regions in memory. The movement detected by the occupant detection device within the masked regions may be ignored when determining an occupant count for the space.

Techniques and apparatuses are described that enable full-duplex operation for radar sensing using a wireless communication chipset. A controller initializes or controls connections between one or more transceivers and antennas in the wireless communication chipset. This enables the wireless communication chipset to be used as a continuous-wave radar or a pulse-Doppler radar. By utilizing these techniques, the wireless communication chipset can be re-purposed or used for wireless communication or radar sensing.

A system and method for cooperative aerial vehicle collision avoidance provides an ESA-based sensor network capable of high-resolution threat proximity measurements and cooperative and non-cooperative collision avoidance in the full spherical volume surrounding an aerial vehicle. The system incorporates a plurality of ESA panels onto the airframe where the conical scan volumes overlap leaving no gaps in spherical proximity coverage. The resulting received data is stitched together between the neighboring ESA panels and used to determine a position and vector for each threat aerial vehicle within range. The data is transmitted through a cooperative collision avoidance network to nearby aerial vehicles, and presented to the autopilot and flight crew to increase situational awareness. The system determines a maneuver for the aerial vehicle and a maneuver for the threat aerial vehicle based on relative maneuvering capabilities to maintain desired separation.

This invention is related to a supervision system that monitors automated movements performed by components of an medical imaging modality, in order to ensure that the moving components behave as expected, while identifying at the same time potential conflicts with (alien) objects or persons in the medical scene. The invention is based on the analysis of differences between measured distance data obtained by a detector that is mounted on the medical imaging modality, and a calculated virtual model of the geometric state of the modality components in the medical scene.