Qualcomm Incorporated

Evyatar Hemo

Evgeny Levitan

Sharad Deepak Sambhwani

Amichai Sanderovich

Ariel Yaakov Sagi

Eran Hof

Ning Bi

Yingyong Qi

Michel Adib Sarkis

Mohammad Faroq Salama

Alecsander Petru Eitan

Gal Basson

Ferdinando Olivieri

Ran Eliyahu Hay

Menucher Behram Menuchehry

Simha Sorin

Ilia Antsiferov

Moshe Bino

Liat Rahmani Kochavi

Various aspects of the present disclosure generally relate to media systems. In some aspects, a media device may monitor, using a radio frequency (RF) sensor, an environment of the media device; determine, from a received RF signal obtained by the RF sensor, a user attribute of a user within the environment; and control an audio system, associated with the media device, to direct an audio beam toward or away from the user. Numerous other aspects are provided.

Radio frequency sensing for control of a media system

Various aspects of the present disclosure generally relate to wireless communication. In some aspects, an apparatus may receive an indication of a selected digital pre-distortion (DPD) kernel from multiple DPD kernels. The apparatus may store multiple envelope values associated of with samples of an in-phase/quadrature (I/Q) signal and select a subset of envelope values based at least in part on the selected DPD kernel. The apparatus may generate, using the subset of envelope values and a look-up-table (LUT) component, an envelope computation value. The apparatus may store multiple computational values associated with the samples and select, based at least in part on the selected DPD kernel, at least one subset of computational values. The apparatus may generate an output sample that includes DPD based at least in part on combining the envelope computation value with the at least one subset of computational values. Numerous other aspects are described.

Adaptive digital pre-distortion

Methods, systems, computer-readable media, and apparatuses for radar processing based on a combination of analog beamforming, digital beamforming, and virtual arrays are described. In certain embodiments, a radar receiver receives signals simultaneously transmitted, i.e., concurrently, from a radar transmitter. Each transmitted signal corresponds to the same transmit signal, but with a respective phase being applied. The radar receiver generates, based on the received signals, a virtual array response corresponding to an array of virtual antennas. The virtual array response covers a subset of directions within a field of view to be scanned. In some embodiments, the transmissions from the radar transmitter are generated using analog beamforming, and the virtual array response generated using digital beamforming. In other embodiments, the transmissions from the radar transmitter are generated using digital beamforming, and the virtual array response generated using analog beamforming.

Hybrid multiple-input multiple-output (MIMO) radar system

Power saving techniques for radar-based proximity sensing can include conducting proximity scans with a radar system in an omnidirectional proximity sensing mode in which signals are transmitted without directionality. Once an object is detected within a threshold proximity, the radar system can then switch to a directional proximity sensing mode to provide accurate directional detection capabilities in a desired field of view (FOV).

Radar proximity detection with flexible FOV

Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a device may receive layout information that identifies a configuration of an antenna array of antennas, wherein the antenna array is to include a plurality of antenna subarrays and a plurality of antenna chips, wherein each antenna chip is communicatively coupled to antennas of an associated antenna subarray; determine, based at least in part on a phase shift characteristic associated with the antennas, a set of phase differences between antenna subarrays; determine, based at least in part on the set of phase differences, a chip position of each antenna chip relative to the associated antenna subarray; and generate, based at least in part on the chip position of each antenna chip, a layout of an antenna package to receive the antenna array and the plurality of antenna chips. Numerous other aspects are provided.

Chip configuration for an antenna array

Techniques for performing gesture recognition with an electronic device are disclosed where the electronic device has a wireless communications capability using beamforming techniques and includes a plurality of millimeter wave antenna modules, each antenna module including at least one transmit antenna and at least one receive antenna, the antennas being operable in one or more frequency ranges greater than 20 GHz. Performing gesture recognition includes: simultaneous operation of the at least one transmit antenna and the at least one receive antenna so as to provide a radar capability; and detecting a presence and motion of a reflective object by analyzing magnitude and phase of signals received by the at least one receive antenna and resulting from reflection of signals transmitted by the transmit antenna and reflected by the reflective object.

Gesture detection in interspersed radar and network traffic signals

A transceiver having a virtual array is disclosed that includes a transmit antenna array and a receive antenna array. The transmit antennas are spaced apart by a transmit array spacing. Similarly, the receive antennas are spaced apart by a receive array spacing. One of the receive and transmit arrays has more antenna elements than a ratio of either the transmit array spacing divided by the receive array spacing or of the receive array spacing divided by the transmit array spacing.

Tapering for MIMO

Disclosed are techniques for liveliness detection. In an aspect, a radar sensor of an electronic device transmits a radar frame comprising a plurality of bursts, each burst comprising a plurality of radar pulses, and receives a plurality of reflected radar pulses. The electronic device generates a radar image representing azimuth, elevation, range, and slow time measurements for the radar frame based on the plurality of reflected pulses, applies a Doppler FFT to the radar image to convert the radar image to represent azimuth, elevation, range, and velocity measurements for the radar frame, identifies at least one area of motion in the radar image based on velocity bins of the radar image, and detects a target dynamic object based on a CFAR detection applied over the range and azimuth measurements and a SNR threshold of the received plurality of reflected pulses associated with the at least one area of motion.

Liveliness detection using radar

Techniques and systems are provided for performing object verification using radar images. For example, a first radar image and a second radar image are obtained, and features are extracted from the first radar image and the second radar image. A similarity is determined between an object represented by the first radar image and an object represented by the second radar image based on the features extracted from the first radar image and the features extracted from the second radar image. A determined similarity between these two sets of features is used to determine whether the object represented by the first radar image matches the object represented by the second radar image. Distances between the features in the two radar images can optionally also be compared and used to determine object similarity. The objects in the radar images may optionally be faces.

Object verification using radar images

Embodiments described herein can address these and other issues by using radar machine learning to address the radio frequency (RF) to perform object identification, including facial recognition. In particular, embodiments may obtain IQ samples by transmitting and receiving a plurality of data packets with a respective plurality of transmitter antenna elements and receiver antenna elements, where each data packet of the plurality of data packets comprises one or more complementary pairs of Golay sequences. I/Q samples indicative of a channel impulse responses of an identification region obtained from the transmission and reception of the plurality of data packets may then be used to identify, with a random forest model, a physical object in the identification region.

Radio frequency (RF) object detection using radar and machine learning

Embodiments described herein can address these and other issues by using radar machine learning to address the radio frequency (RF) to perform object identification, including facial recognition. In particular, embodiments may obtain IQ samples by transmitting and receiving a plurality of data packets with a respective plurality of transmitter antenna elements and receiver antenna elements. I/Q samples indicative of a channel impulse responses of an identification region obtained from the transmission and reception of the plurality of data packets may then be used to identify, with an autoencoder, a physical object in the identification region.

Techniques provided herein are directed toward enabling short-range proximity detection using radar sensors by reducing or eliminating OTA leakage. Embodiments generally include performing spatial cancellation by using a plurality of transmit/receive pairs of antenna elements to implement analog and/or digital leakage cancellation on the transmit and/or receive side. According to some embodiments null space projection cancellation, OTA leakage tracking, or adaptive minimum variance distortionless response (MVDR) beamforming may be performed to help preserve of the OTA leakage cancellation efficacy over time.

Adaptive OTA leakage cancellation for mmWave radar

A two-stage technique for compressing radar data is disclosed in which, in the first stage, Constant False Alarm Rate (CFAR) compression is conducted using a median calculated from at least one dimension of radar data, which is then used to determine filtering threshold values for all dimensions of the radar data. The radar data is then compressed by filtering the radar data based on the filtering threshold values. In the second stage, peak detection is then performed on the compressed data to identify detected objects (targets). These and other embodiments are described herein.

Efficient compression of radar data

Space-time-frequency multiplexing (STFM) schemes for radio frequency (RF) scanning are disclosed in which complementary pairs of sequences (or 'Golay pairs') are transmitted at different times using multiple frequencies. The transmission and reception of the sequences can occur over multiple transmit (Tx) and/or receive (Rx) radio sectors to scan an entire area for range, azimuth, elevation, and (optionally) velocity of objects therein.

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Kiryat Bialik, Israel

Evyatar Hemo