A process and systems for constructing arbitrarily large virtual arrays using two or more collection platforms (e.g. AUX and MOV systems) having differing velocity vectors. Referred to as Motion Extended Array Synthesis (MXAS), the resultant imaging system is comprised of the collection of baselines that are created between the two collection systems as a function of time. Because of the unequal velocity vectors, the process yields a continuum of baselines over some range, which constitutes an offset imaging system (OIS) in that the baselines engendered are similar to those for a real aperture of the same size as that swept out by the relative motion, but which are offset by some (potentially very large) distance.

Accuracy for detecting and tracking one or more objects of interest can be improved using radar-based tracking systems. In some examples, multiple radars implemented in a device can be used to transmit signals to, and receive signals from, the one or more objects of interest. To disambiguate an object of interest from undesired objects such as the hand of a user, the object of interest can include a transponder that applies a delay element to a signal received from a radar, and thereafter transmits a delayed return signal back to the radar. The delay produced by the delay element can separate the return signal from undesired reflections and enable disambiguation of those signals. Clear identification of the desired return signal can lead to more accurate object distance determinations, more accurate triangulation, and improved position detection and tracking accuracy.

A vehicle radar sensor unit (2) arranged to acquire a plurality of radar detections, and including an antenna arrangement (3), a transmitter unit (4), a receiver unit (5) and a processing unit (6). The antenna arrangement (3) has at least two transmitter antennas (7, 8) and at least two receiver antennas (9, 10, 11, 12), where two transmitter antennas (7, 8) have a vertical spacing (h) between their respective phase centers (17, 18) that exceeds half the free-space wavelength of the transmitted signal. The processing unit (5) is arranged to determine a first radial velocity of each radar detection by tracking the change of radial distance (r) to each radar detection for a plurality of radar cycles; determine a second radial velocity that best matches the first radial velocity; track a plurality of measured heights (z) as a function of radial distance (r); and to choose a measured height (z.sub.GT) among the tracked measured heights (z) that has a minimal change from radar cycle to radar cycle.

A system for connecting a mobile device to a motor vehicle via a Bluetooth connection is proposed. The system comprises a processing unit for detecting a signal strength of a signal transmitted between the mobile device and the motor vehicle and for determining the position of the mobile device with respect to the motor vehicle based on the signal strength, and a connecting unit for coupling the mobile device and the motor vehicle via a Bluetooth Low Energy connection, for establishing a Bluetooth connection between the mobile device and the motor vehicle, and for coupling the mobile device to the motor vehicle via the Bluetooth connection based on the position of the mobile device and the Bluetooth Low Energy connection.

A radar system for interacting with navigation targets is provided. The radar system is configured to interact with navigation targets (target devices) that shift the phase of a received radar transmission to generate a phase shifted response signal. Phase shifters (e.g., silicon germanium phase shifters) are designed to assign specific frequency responses from one or more navigation modules to identify target locations. The radar module transmits at a modulated signal at first frequency, each navigation target receives the radar transmission, phase shifts the signal and returns the phase shifted signal. Where two or more navigation targets are used, each will apply a different phase shift to the received radar transmission, wherein the frequency identifies the navigation target devices. In a radar system, the modulated transmission signal is compared to the returned phase shifted signal to determine a frequency difference between the two signals.

A radar device comprises a radar circuit configured to transceive first radar signals that occupy a first frequency band and second radar signals that occupy a second frequency band. An antenna device of the radar device comprises a first set and a second set of antennas and is configured to selectively transduce the first radar signals via the first set and not via the second set and to selectively transduce the second radar signals via the second set and not via the first set. A processing device of the radar device detects from the first radar signals target reflections via first propagation channels and from the second radar signals target reflections via second propagation channels. The signal processing device jointly evaluates the target reflections via the first and second propagation channels to form a common virtual antenna array for determining an angular position of a target object.

According to one embodiment, a system includes a radar and a controller. The radar includes at least one first antenna and at least one second antenna. The at least one first antenna transmits a first transmission wave at a first time and transmits a second transmission wave at a second time different from the first time. The at least one second antenna receives reflected waves of the first transmission wave and the second transmission wave.

An electronic device may use information about the location of nearby devices to make sharing with those devices more intuitive for a user. The electronic device may include control circuitry, wireless circuitry including first and second antennas, and motion sensor circuitry. The control circuitry may determine the location of a nearby electronic device by calculating the angle of arrival of signals that are transmitted by the nearby electronic device. To obtain a complete, unambiguous angle of arrival solution, the electronic device may be moved into different positions during angle of arrival measurement operations. At each position, the control circuitry may calculate a phase difference associated with the received signals. Motion sensor circuitry may gather motion data as the electronic device is moved into the different positions. The control circuitry may use the received antenna signals and the motion data to determine the complete angle of arrival solution.

A method and apparatus for an angle meter cooperatively using two or more non-contact distance meters for measuring distances to a surface along substantially parallel lines. The measured distances are used for estimating or calculating the angle to the surface and the distance to the surface. The distance meters may use optical means, where a visible or non-visible light or laser beam is emitted and received, acoustical means, where an audible or ultrasound sound is emitted and received, or an electro-magnetic scheme, where radar beam is transmitted and received. The distances may be estimated using a Time-of-Flight (TOF), homodyne or heterodyne phase detection schemes. The distance meters may share the same correlator, signal conditioning circuits, or the same sensor. Two or more angle meters may be used defining parallel or perpendicular measurement planes, for measuring angles between surfaces, and for estimating physical dimensions such as length, area or volume.

Systems and methods for detecting symptoms of occupant illness is disclosed herein. In embodiments, a storage is configured to maintain a visualization application and data from one or more sources, such as an audio source, an image source, and/or a radar source. A processor is in communication with the storage and a user interface. The processor is programmed to receive data from the one or more sources, execute human-detection models based on the received data, execute activity-recognition models to recognize symptoms of illness based on the data from the one or more sources, determine a location of the recognized symptoms, and execute a visualization application to display information in the user interface. The visualization application can show a background image with an overlaid image that includes an indicator for each location of recognized symptom of illness. Additionally, data from the audio source, image source, and/or radar source can be fused.