Qualcomm Incorporated

Samsung Electronics Co., Ltd.

Nitin Jonathan Myers

Roberto Rimini

Kee-Bong Song

Hyukjoon Kwon

Udara Fernando

Volodimir Slobodyanyuk

Yacong Ding

Tsai-Chen Huang

Vijay Varadarajan

Disclosed is an electronic device including a processor and memory, the processor being configured to perform frequency interpolation on a channel estimation at all resource elements (REs) located where a demodulation reference signal is transmitted, perform time interpolation on a frequency domain interpolated channel obtained from the frequency interpolation, and calculate an enhanced channel estimation based on channel estimates at REs in a frequency domain and REs in a time domain, the channel estimates being output from the time interpolation.

Enhancement of channel estimation in wireless communication based on supervised learning

Aspects of the disclosure relate to radar-based signaling for detecting, measuring, and/or characterizing a target object. An electronic device may transmit a plurality of detection signals and receive a plurality of reflection signals reflected from the target object. The electronic device then processes the plurality of reflection signals to extract one or more parameters of the target object. Based on the reflection signals, the device can measure and/or characterize the target object, e.g., to obtain a heart rate and/or breathing rate. In other examples, the device may determine whether the reflection signals indicate human vital signs, such as a heart rate or breathing. The electronic device may then adjust at least one transmission parameter based on whether human vital signs are detected at the target object, and transmit the adjusted signal using the transmission parameter. Other aspects, embodiments, and features are also claimed and described.

Wireless communication with enhanced maximum permissible exposure (MPE) compliance based on vital signs detection

Methods, systems, computer-readable media, and apparatuses for determining one or more attributes of at least one target based on eigenspace analysis of radar signals are presented. In some embodiments, a subset of eigenvectors to use for forming a signal or noise subspace is identified based on principal component analysis. In some embodiments, the subset of eigenvectors is identified based on estimating the total number of targets using a discrete Fourier transform (DFT) or other spectral analysis technique. In some embodiments, a DFT is used to identify areas of interest in which to perform eigenspace analysis. In some embodiments, a DFT is used to estimate one attribute of a target, and eigenspace analysis is performed to estimate a different attribute of the target, with the results being combined to generate a multi-dimensional representation of a field of view.

High resolution and computationally efficient radar techniques

Growing community of inventors

Austin, TX, United States of America

Nitin Jonathan Myers