Qualcomm Incorporated

Wilocity, Ltd.

Amichai Sanderovich

Alecsander Petru Eitan

Assaf Yaakov Kasher

Gal Basson

Solomon B Trainin

Evyatar Hemo

Evgeny Levitan

Reuven Alpert

Sharad Deepak Sambhwani

Eran Hof

Ran Eliyahu Hay

Carlos Horacio Aldana

Ning Bi

Yingyong Qi

Michel Adib Sarkis

Ariel Yaakov Sagi

Javier Frydman

Mordechay Aharon

Michael Leviant

Iddo Diukman

Simha Sorin

Mohammad Faroq Salama

Sony Akkarakaran

Danlu Zhang

Xiaoxin Zhang

Alon Yehezkely

Bala Ramasamy

Elimelech Ganchrow

Moran Horesh

Raz Bareket

Elad Hadari

Ohad Rozen

Moshe Marat Donskoy

Ilia Antsiferov

Moshe Bino

Liat Rahmani Kochavi

Amitai Abramson

In an aspect, a first network node may receive, from a second network node, one or more reference signals transmitted using one or more first polarizations known to the first network node, wherein the one or more reference signals are received having one or more second polarizations. The first network node may determine whether the one or more reference signals followed a line-of-sight (LOS) path between the first network node and the second network node based on a comparison of signal characteristics related to the one or more first polarizations and signal characteristics related to the one or more second polarizations.

Polarization signaling in line-of-sight path detection

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

In an aspect of the disclosure, an apparatus for wireless communication is provided. The apparatus may include several detectors, each of which may be configured to detect a signal received by a corresponding antenna of several antennas. The apparatus may include a processing system configured to detect a remote apparatus based on outputs from the detectors. The apparatus may include several modem radio frequency chips each including a corresponding detector of the several detectors, and a modem baseband chip including the processing system. The processing system may be configured to allow at most one of the detectors to output a detection declaration to the processing system at a time. The processing system may be configured to send a power-down command to and disconnect from each of the detectors that does not detect the signal from a corresponding antenna of the several antennas.

Implementation of improved omni mode signal reception

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

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

Various aspects of the disclosure relate to co-existence of millimeter wave (mmW) communication and radar. In some aspects, a device that supports mmW communication and radar operations may determine whether or when to conduct radar operations based on information obtained about a nearby mmW network. For example, prior to sending radar signals, the device may monitor for mmW communication signals. As another example, the device may send at least one mmW communication signal to reserve a communication medium for subsequent radar operations. As yet another example, the device may conduct radar operations during idle or allocated time periods defined by the mmW network.

Co-existence of millimeter wave communication and radar

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.

Certain aspects of the present disclosure provide methods and apparatus for accommodating immediate response to frames transmitted under time division multiplexed (TDM) access. Certain aspects of the present disclosure also provide methods and apparatus for indicating a frame is transmitted under time division multiplexed (TDM) access.

Immediate responses under time division multiplexed (TDM) access

Certain aspects of the present disclosure provide methods and apparatus for enhancing a beamforming training procedure.

Split sector level sweep using beamforming refinement frames

Certain aspects of the present disclosure provide methods and apparatus for signaling a receive antenna mode to use during beamforming training procedure. For example, an apparatus for wireless communications, may generally include a processing system configured to generate a first frame having one or more beamforming training fields to be output for transmission to a wireless device using a directional transmit antenna mode and an indication whether the wireless device is to be in an Omni-directional receive antenna mode to receive the one or more beamforming training fields, and a first interface configured to output the first frame for transmission.

Efficient beamforming technique

Certain aspects of the present disclosure provide methods and apparatus for spatial reuse for neighboring nodes of distribution networks, so they may transmit without causing interference to nodes of the distribution network.

Dynamic spatial reuse in distribution networks

Aspects of the present disclosure provide techniques for reporting location information in wireless communications system. In some cases, an apparatus may provide an indication of a degree of accuracy in the reported values.

Location reporting of a wireless device

Certain aspects of the present disclosure provide methods and apparatus for generating frames with dual mode channel estimation fields (CEFs) that may accommodate devices with different processing capabilities. In some examples, a frame that is generated comprises a first portion for transmission on separate channels, and a second portion for transmission using channel bonding. The second portion has a training field including first complementary sequences, a first channel estimation field (CEF) including second complementary sequences, and a second CEF including one of the first complementary sequences of the training field and a subset of the second complementary sequences of the first CEF.

Growing community of inventors

Atlit, Israel

Amichai Sanderovich