Pseudo-monostatic sensing mode based rf sensing

Patent metadata

Field	Value
Publication number	US-2025102616-A1
Application number	US-202418821948-A
Country	US
Kind code	A1
Filing date	Aug 30, 2024
Priority date	Sep 25, 2023
Publication date	Mar 27, 2025
Grant date	—

Abstract

A computer-implemented method for multi-device sensing at a first device in a wireless network, comprising: determining, by the first device, whether the first device operates in a mode in which the first device and a second device coordinate to simultaneously transmit and receive radio frequency (RF) signals and the first device is within a distance of the second device, exchanging, by the first device, RF signals with the second device, obtaining, by communicating with the second device, signal information from the exchanged RF signals, and performing sensing based on the signal information

First claim

What is claimed is:

1 . A computer-implemented method for multi-device sensing at a first device in a wireless network, the method comprising:
determining, by the first device, whether the first device operates in a mode in which the first device and a second device coordinate to simultaneously transmit and receive radio frequency (RF) signals and the first device is within a distance of the second device; exchanging, by the first device, RF signals with the second device; obtaining, by communicating with the second device, signal information from the exchanged RF signals; and performing sensing based on the signal information.

2 . The computer-implemented method of claim 1 , wherein the performing sensing comprises:
detecting motion and breathing rate of a human from the signal information; and estimating a sleep status based on the detected motion and breathing rate of the human.

3 . The computer-implemented method of claim 1 , wherein the performing sensing comprises:
detecting motion of a human indicative of exercising from the signal information; extracting a doppler pattern from the signal information to estimate, for a time period in which the human is determined to be exercising, exercise information including a burned calories and a number of repetitions of a movement; and outputting the exercise information.

4 . The computer-implemented method of claim 1 , wherein the determining comprises:
establishing a wireless link between the first device and the second device; measuring a signal strength of an RF signal transmitted by the second device; comparing the signal strength with a threshold value; and determining that the first device operates in the mode when the signal strength is larger than the threshold.

5 . The computer-implemented method of claim 1 , wherein the determining comprises:
establishing a wireless link between the first device and the second device; determining a round-trip time (RTT) value of an RF signal transmitted by the first device; comparing the RTT with a threshold value; and determining that the first device operates in the mode when the RTT is less than the threshold value.

6 . The computer-implemented method of claim 1 , wherein the determining comprises:
determining an energy of an audio signal transmitted by the second device; comparing the energy of the audio signal with a threshold; and determining that the first device operates in the mode when the energy of the audio signal is greater than the threshold value.

7 . The computer-implemented method of claim 1 , wherein the determining comprises:
determining that the second device is being charged by the first device; and determining that the first device operates in the mode when the second device is being charged by the first device.

8 . The computer-implemented method of claim 1 , wherein the determining comprises:
determining whether the first device and the second device are being charged by a charging device; and determining that the first device operates in the mode when the first device and the second device are being charged by the charging device.

9 . The computer-implemented method of claim 1 , further comprising:
converting the RF signals between the first device and the second device to channel impulse response (CIR); determining that a human is within a threshold distance based on the CIR; and displaying information associated with a battery level of the first device when the human is within the threshold distance.

10 . The computer-implemented method of claim 9 , further comprising:
determining, using a camera on the first device, an identity of the human using a face recognition process; and displaying information based on the identity of the human.

11 . A first device in a wireless network, the first device comprising:
a memory; a processor coupled to the memory, the processor configured to:
determine, by the first device, whether the first device operates in a mode in which the first device and a second device coordinate to simultaneously transmit and receive radio frequency (RF) signals and the first device is within a distance of the second device;
exchange, by the first device, RF signals with the second device;
obtain, by communicating with the second device, signal information from the exchanged RF signals; and
perform sensing based on the signal information.

12 . The first device of claim 11 , wherein the processor is further configured to perform sensing by:
detecting motion and breathing rate of a human from the signal information; and estimating a sleep status based on the detected motion and breathing rate of the human.

13 . The first device of claim 11 , wherein the processor is further configured to perform sensing by:
detecting motion of a human indicative of exercising from the signal information; extracting a doppler pattern from the signal information to estimate, for a time period in which the human is determined to be exercising, exercise information including a burned calories and a number of repetitions of a movement; and outputting the exercise information.

14 . The first device of claim 11 , wherein the processor is further configured to determine whether the first device operates in the mode by:
establishing a wireless link between the first device and the second device; measuring a signal strength of an RF signal transmitted by the second device; comparing the signal strength with a threshold value; and determining that the first device operates in the mode when the signal strength is larger than the threshold.

15 . The first device of claim 11 , wherein the processor is further configured to determine whether the first device operates in the mode by:
establishing a wireless link between the first device and the second device; determining a round-trip time (RTT) value of an RF signal transmitted by the first device; comparing the RTT with a threshold value; and determining that the first device operates in the mode when the RTT is less than the threshold value.

16 . The first device of claim 11 , wherein the processor is further configured to determine whether the first device operates in the mode by:
determining an energy of an audio signal transmitted by the second device; comparing the energy of the audio signal with a threshold; and determining that the first device operates in the mode when the energy of the audio signal is greater than the threshold value.

17 . The first device of claim 11 , wherein the processor is further configured to determine whether the first device operates in the mode by:
determining that the second device is being charged by the first device; and determining that the first device operates in the mode when the second device is being charged by the first device.

18 . The first device of claim 11 , wherein the processor is further configured to determine whether the first device operates in the mode by:
determining the first device and the second device are being charged by a charging device; and determining that the first device operates in the mode when the first device and the second device are being charged by the charging device.

19 . The first device of claim 11 , wherein the processor is further configured to:
convert the RF signals between the first device and the second device to channel impulse response (CIR); determine that a human is within a threshold distance based on the CIR; and display information associated with a batter

Assignees

• Samsung Electronics Co Ltd

Inventors

• Chen Guanbo
• Li Songwei
• Zhu Yuming
• RATNAM Vishnu Vardhan

Classifications

• G01S13/003

  Bistatic radar systems; Multistatic radar systems · CPC title

• G01S7/415

  Identification of targets based on measurements of movement associated with the target · CPC title

• G01S7/006 Primary

  using shared front-end circuitry, e.g. antennas (G01S13/765, G01S13/825 take precedence) · CPC title

• G01S13/56

  for presence detection {(presence detection using near field arrangements G01V3/00, e.g. G01V3/08, G01V3/12; burglar, theft or intruder alarms with electrical actuation G08B13/22 - G08B13/26)} · CPC title

• H04W84/12

  WLAN [Wireless Local Area Networks] · CPC title