Intel Corporation

Qualcomm Incorporated

Lior Maor

Alon Cohen

Moshe Teplitsky

Ilia Yoffe

Meir Agassy

Boaz Castro

Hrishikesh Vijaykumar Panchawagh

Kostadin Dimitrov Djordjev

Jessica Liu Strohmann

Gil Zukerman

Ron Rotstein

Chulong Chen

Thushara Hewavithana

Javier Frydman

Changting Xu

Gal Rotem

Ophir Shabtay

Soon Joon Yoon

For example, a radar apparatus may include an input to receive radar receive (Rx) data, the radar Rx data based on radar signals received via a plurality of Rx antennas of Multiple-Input-Multiple-Output (MIMO) radar antenna; and a radar processor configured to generate radar information based on the radar Rx data by calibrating an antenna Mismatch (MM) of the MIMO radar antenna such that the radar information includes an Angle of Arrival (AoA) spectrum having a Peak Side Lobe Level (PSLL) of at least 30 decibel (dB).

Apparatus, system and method of radar antenna calibration

Some demonstrative aspects include radar apparatuses, devices, systems and methods. In one example, an apparatus may include a plurality of Transmit (Tx) antennas to transmit radar Tx signals, a plurality of Receive (Rx) antennas to receive radar Rx signals based on the Tx signals, and a processor to generate radar information based on the radar Rx signals. The apparatus may be implemented, for example, as part of a radar device, for example, as part of a vehicle including the radar device. In other aspects, the apparatus may include any other additional or alternative elements and/or may be implemented as part of any other device.

Radar apparatus, system, and method

An ultrasonic fingerprint sensor in a mobile device is operated to capture an initial snapshot of reflection from a finger's surface, of acoustic energy transmitted at a first frequency. Additionally, the ultrasonic fingerprint sensor is operated repeatedly to capture over time, a sequence of sets, each set including one or more additional snapshots of reflection from one or more depths within the finger, of acoustic energy transmitted at a second frequency significantly lower than the first frequency. Measurements in the additional snapshots are processed to determine whether any signal oscillating at a rate in a normal range for heart rate or respiration rate is present. When a signal is found, its rate may be used in several ways, e.g. to enable functionality when a fingerprint in the initial snapshot matches a reference fingerprint, or to identify and track a heart rate (or a respiration rate) based on the signal's rate.

Heart rate and respiration rate measurement using a fingerprint sensor

For example, a radar data compressor may include an input to receive input digital raw data comprising digital samples of received radar signals at a plurality of receive (Rx) antennas; a raw data compressor configured to compress the input digital raw data into compressed digital data, for example, by wiping off from the input digital raw data one or more wiped-off signals, e.g., based on a wipe-off criterion applied to the input digital raw data; and a compressor output to provide compressed data including the compressed digital data, and signal parameter information defining the one or more wiped-off signals.

Apparatus, system and method of radar data compression

For example, an apparatus may include a radar processor to process radar receive (Rx) data, the radar Rx data based on radar signals received via a plurality of Rx antennas of a Multiple-Input-Multiple-Output (MIMO) radar antenna; and to generate radar information by applying an Amplitude Phase Estimation (APES) calculation to the radar Rx data.

Apparatus, system and method of generating radar information based on an amplitude phase estimation calculation

Techniques are disclosed implementing two alternative approaches for adaptive beamforming for MIMO radar. The first of these includes a 'reduced complexity' iterative adaptive approach (RC-IAA) algorithm, which uses two steps including a delay-and-sum beamforming step (DAS-BF) and an IAA step that is applied to the output generated by the DAS-BF step. A second technique is described that includes a 'beam space' iterative adaptive approach (BS-IAA) algorithm, which uses three steps including a delay-and-sum beamforming step (DAS-BF), a region of interest (ROI) detection step that is applied to the output generated by the DAS-BF, and an IAA step that is applied to detected ROIs.

Beamforming techniques implementing the iterative adaptive approach (IAA)

A method of controlling an apparatus that includes an ultrasonic sensor system may involve controlling the ultrasonic sensor system to transmit a first ultrasonic compressional wave and receiving first signals from the ultrasonic sensor system. The first signals may include signals corresponding to reflections of the first ultrasonic compressional wave from a target object proximate a surface of the apparatus. The method may involve performing an authentication process based, at least in part, on the first signals. The method may involve controlling the apparatus to transmit a shear wave and receiving second signals from the ultrasonic sensor system. The second signals may include signals corresponding to reflections of the shear wave from the target object. The method may involve performing a spoof detection process based, at least in part, on the second signals.

Anti-spoofing devices and methods involving acoustic shear waves

Described is a navigation solution calculation method and a user device. The method can include providing an assistance request to a server. One or more signal path signatures can be received from the server. The one or more signal path signatures can be associated with a first position of the user device. The one or more signal path signatures can be compared with one or more satellite signals received by the user device from one or more satellites. A second position of the user device can be determined based on the comparison.

Navigation system and method

An apparatus may include an ultrasonic fingerprint sensor system and a control system. The control system may be configured for obtaining, via a scan of the fingerprint sensor system, current fingerprint image data from a surface of a target object, for extracting current fingerprint features from the current fingerprint image data and for determining whether the current fingerprint features match features of a previously-acquired fingerprint enrollment template. If there is a match, the control system may be configured for obtaining, via one or more additional scans of the fingerprint sensor system, current subsurface image data from a subsurface of the target object, for calculating an estimated biometric age of the target object, based at least in part on the current subsurface image data and for determining whether the estimated biometric age of the target object matches a previously-estimated biometric age.

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Petah Tikva, Israel

Lior Maor