IP Library › Granted Patent US 12669580

Granted Patent B2

US 12669580 · App. 17/734,985 · Granted Jun 30, 2026

Wireless communication with enhanced maximum permissible exposure (MPE) compliance

Inventors: Roberto Rimini (San Diego, CA); Tsai-Chen Huang (San Diego, CA)

Assignee: QUALCOMM Incorporated

G01S7/411 G01S7/4013 H04B7/043 H04W52/28 H04W52/367 A61B3/102 A61B5/4815 G01J3/4338 G01S13/28

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Quick Facts

Patent No.: US 12669580
App. No.: 17/734,985
Filed: May 2, 2022
Granted: Jun 30, 2026
Kind: B2
Examiner: VU, TUAN A
Art Unit: 2193
USPC: 717/108

External Links

USPTO Patent Center↗ Full Patent PDF↗

Abstract

Aspects of the disclosure relate to classifying a target object. An electronic device may transmit a detection signal and receive a reflection signal reflected from the target object. The electronic device then determines, based on one or more features of the reflection signal, a category of the target object and adjusts at least one transmission parameter based on the category. The electronic device then transmits an adjusted signal using the transmission parameter. Other aspects, embodiments, and features are also claimed and described.

Claims (100)

1 . A method of wireless communication comprising:

transmitting a plurality of detection signals;

receiving, corresponding to the plurality of detection signals, a plurality of reflection signals reflected from an object;

categorizing, based on variations over time of measurements of the plurality of reflection signals, the object as a living object or a non-living object, wherein the variations over time of the measurements comprise at least one of:

a variance of a dynamic time warping of the plurality of reflection signals;

a maximum of the dynamic time warping of the plurality of reflection signals;

a variance of a difference between a peak power in each reflection signal of the plurality of reflection signals, and an average peak power across the plurality of reflection signals;

a variance of a difference between a distance where a peak power lies in each reflection signal of the plurality of reflection signals, and an average distance where the peak power lies in the plurality of reflection signals;

a variance of a real part of time domain samples of the plurality of reflection signals; or

a variance of an imaginary part of time domain samples of the plurality of reflection signals; and

transmitting, using a transmission parameter, a transmission signal, wherein:

the transmission parameter is a first transmission parameter if the object is categorized as the living object; and

the transmission parameter is a second transmission parameter if the object is categorized as the non-living object, wherein the second transmission parameter is different from the first transmission parameter.

2 . The method of claim 1 , wherein the transmission parameter comprises at least one of a power level, a beam steering angle, a frequency, a selected antenna, or a communication protocol.

3 . The method of claim 1 , wherein the plurality of reflection signals are indicative of micromovements characteristic of a living object, and wherein categorizing the object comprises categorizing the object as the living object.

4 . The method of claim 1 , wherein categorizing the object based on the variations over time of the measurements of the plurality of reflection signals comprises:

extracting one or more features of the plurality of reflection signals;

applying the one or more extracted features to a classification model configured with a boundary that separates objects within a feature space;

determining a location of the object, within the feature space, relative to the boundary; and

categorizing the object as the living object or the non-living object based on the location within the feature space.

5 . The method of claim 1 ,

wherein the first transmission parameter comprises a first transmission power level constrained according to a maximum permissible exposure (MPE) requirement; and wherein the second transmission parameter comprises a second transmission power level that is not constrained according to the MPE requirement.

6 . The method of claim 5 , wherein the transmission signal comprises a millimeter-wave signal.

7 . The method of claim 1 , wherein the variations over time of the measurements of the plurality of reflection signals are the variance of the dynamic time warping of the plurality of reflection signals.

8 . The method of claim 1 , wherein the variations over time of the measurements of the plurality of reflection signals are the maximum of the dynamic time warping of the plurality of reflection signals.

9 . The method of claim 1 , wherein the variations over time of the measurements of the plurality of reflection signals are the variance of the difference between the peak power in each reflection signal of the plurality of reflection signals, and the average peak power across the plurality of reflection signals.

10 . The method of claim 1 , wherein the variations over time of the measurements of the plurality of reflection signals are the variance of the difference between the distance where the peak power lies in each reflection signal of the plurality of reflection signals, and the average distance where the peak power lies in the plurality of reflection signals.

11 . The method of claim 1 , wherein the variations over time of the measurements of the plurality of reflection signals are the variance of the real part of time domain samples of the plurality of reflection signals.

12 . The method of claim 1 , wherein the variations over time of the measurements of the plurality of reflection signals are the variance of the imaginary part of time domain samples of the plurality of reflection signals.

13 . A wireless communication device comprising:

one or more processors; and

a transceiver coupled to the one or more processors, wherein the one or more processors are coupled to a memory, and wherein the wireless communication device is configured to:

transmit a plurality of detection signals;

receive corresponding to the plurality of detection signals, a plurality of reflection signals reflected from an object;

categorize, based on variations over time of measurements of the plurality of reflection signals, the object as a living object or a non-living object, wherein the variations over time of the measurements comprise at least one of:

a variance of a dynamic time warping of the plurality of reflection signals;

a maximum of the dynamic time warping of the plurality of reflection signals;

a variance of a difference between a peak power in each reflection signal of the plurality of reflection signals, and an average peak power across the plurality of reflection signals;

a variance of a real part of time domain samples of the plurality of reflection signals; or

a variance of an imaginary part of time domain samples of the plurality of reflection signals; and

transmit, using a transmission parameter, a transmission signal, wherein:

the transmission parameter is a first transmission parameter if the object is categorized as the living object; and

14 . The wireless communication device of claim 13 , wherein the transmission parameter comprises at least one of a power level, a beam steering angle, a frequency, a selected antenna, or a communication protocol.

15 . The wireless communication device of claim 13 , wherein the plurality of reflection signals are indicative of micromovements characteristic of a living object, and wherein, to categorize the object, the wireless communication device is configured to categorize the object as the living object.

16 . The wireless communication device of claim 13 , wherein the wireless communication device configured to:

extract one or more features of the plurality of reflection signals;

apply the one or more extracted features to a classification model configured with a boundary that separates objects within a feature space;

determine a location of the object, within the feature space, relative to the boundary; and

categorize the object as the living object or the non-living object based on the location within the feature space.

17 . The wireless communication device of claim 13 ,

18 . The wireless communication device of claim 17 , wherein the transmission signal comprises a millimeter-wave signal.

19 . An apparatus for wireless communication comprising:

means for transmitting a plurality of detection signals;

means for receiving, corresponding to the plurality of detection signals, a plurality of reflection signals reflected from an object;

means for categorizing, based on variations over time of measurements of the plurality of reflection signals, the object as a living object or a non-living object, wherein the variations over time of the measurements comprise at least one of:

a variance of a dynamic time warping of the plurality of reflection signals;

a maximum of the dynamic time warping of the plurality of reflection signals;

a variance of a difference between a peak power in each reflection signal of the plurality of reflection signals, and an average peak power across the plurality of reflection signals;

a variance of a real part of time domain samples of the plurality of reflection signals; or

a variance of an imaginary part of time domain samples of the plurality of reflection signals; and

means for transmitting, using a transmission parameter, a transmission signal, wherein:

the transmission parameter is a first transmission parameter if the object is categorized as the living object; and

20 . The apparatus of claim 19 , wherein the transmission parameter comprises at least one of a power level, a beam steering angle, a frequency, a selected antenna, or a communication protocol.

21 . The apparatus of claim 19 , wherein the plurality of reflection signals are indicative of micromovements characteristic of a living object, and wherein the means for categorizing the object comprises means for categorizing the object as the living object.

22 . The apparatus of claim 19 , wherein the means for categorizing the object based on the variations over time of the measurements of the plurality of reflection signals comprises:

means for extracting one or more features of the plurality of reflection signals;

means for applying the one or more extracted features to a classification model configured with a boundary that separates objects within a feature space;

means for determining a location of the object, within the feature space, relative to the boundary; and

means for categorizing the object as the living object or the non-living object based on the location within the feature space.

23 . The apparatus of claim 19 ,

24 . The apparatus of claim 23 , wherein the transmission signal comprises a millimeter-wave signal.

25 . A non-transitory computer readable medium having code stored thereon that, when executed, causes a wireless communication device to:

transmit a plurality of detection signals;

receive, corresponding to the plurality of detection signals, a plurality of reflection signals reflected from an object;

a variance of a dynamic time warping of the plurality of reflection signals;

a maximum of the dynamic time warping of the plurality of reflection signals;

a variance of a difference between a peak power in each reflection signal of the plurality of reflection signals, and an average peak power across the plurality of reflection signals;

a variance of a real part of time domain samples of the plurality of reflection signals; or

a variance of an imaginary part of time domain samples of the plurality of reflection signals; and

transmit, using a transmission parameter, a transmission signal, wherein:

the transmission parameter is a first transmission parameter if the object is categorized as the living object; and

26 . The non-transitory computer readable medium of claim 25 , wherein the transmission parameter comprises at least one of a power level, a beam steering angle, a frequency, a selected antenna, or a communication protocol.

27 . The non-transitory computer readable medium of claim 25 , wherein the plurality of reflection signals are indicative of micromovements characteristic of a living object, and wherein, to categorize the object, the code when executed causes the wireless communication device to categorize the object as the living object.

28 . The non-transitory computer readable medium of claim 25 , wherein, to categorize the object based on the variations over time of the measurements of the plurality of reflection signals, the code when executed causes the wireless communication device to:

extract one or more features of the plurality of reflection signals;

apply the one or more extracted features to a classification model configured with a boundary that separates objects within a feature space;

determine a location of the object, within the feature space, relative to the boundary; and

categorize the object as the living object or the non-living object based on the location within the feature space.

29 . The non-transitory computer readable medium of claim 25 ,

30 . The non-transitory computer readable medium of claim 29 , wherein the transmission signal comprises a millimeter-wave signal.