CN-122029448-A - Occupancy detection and range estimation using wi-fi radar

Abstract

Aspects presented herein may improve the accuracy and reliability of Radio Frequency (RF) sensing performed by wireless devices, which may include detection of living objects with minimal movement (e.g., respiration). In one aspect, a UE receives a set of signals over a period of time, wherein each signal in the set of signals includes a superposition of a multipath signal traversed by the signal and a leakage signal. The UE filters out the leakage signal from each signal in the set of signals to obtain the superposition of the multipath signals for each signal. The UE detects whether there is a difference across the filtered signal set during the time period. The UE identifies a presence of at least one mobile object in response to the detection of the discrepancy.

Inventors

• M. O. Shahid
• P. Siari
• ZHANG XIAOXIN

Assignees

• 高通股份有限公司

Dates

Publication Date

20260512

Application Date

20240905

Priority Date

20231020

Claims (20)

1. 1. An apparatus for wireless communication at a User Equipment (UE), the apparatus comprising: At least one memory, and At least one processor coupled to the at least one memory, the at least one processor configured, alone or in any combination, to: Receiving a set of signals over a period of time, wherein each signal in the set of signals comprises a superposition of a multipath signal traversed by the signal and a leakage signal; filtering out leakage signals from each signal in the set of signals to obtain a superposition of the multipath signals for each signal; Detecting whether there is a difference across the filtered signal sets within the time period, and The presence of at least one moving object is identified in response to the detection of the discrepancy.
2. 2. The apparatus of claim 1, wherein the at least one processor, alone or in any combination, is further configured to: a distance from each of the at least one moving object to the UE is calculated based on the differences.
3. 3. The apparatus of claim 2, wherein to calculate the distance from each of the at least one moving object to the UE, the at least one processor is configured to, alone or in any combination: an index identifying peaks in the variance for each moving object; Determining a path delay associated with the index of the peak in the variance of each moving object, and The distance from each moving object to the UE is calculated based on the path delay of each moving object.
4. 4. The apparatus of claim 1, wherein the at least one processor, alone or in any combination, is further configured to: transmitting said set of signals prior to said receiving of said set of signals during said period of time, and Wherein to receive the set of signals within the time period, the at least one processor is configured to receive the set of signals after the set of signals is reflected from one or more objects, alone or in any combination, wherein the one or more objects comprise the at least one moving object.
5. 5. The apparatus of claim 1, wherein the at least one moving object comprises at least one living being.
6. 6. The apparatus of claim 1, wherein to receive the set of signals, the at least one processor is configured to, alone or in any combination: A Channel Impulse Response (CIR) of the set of signals is measured.
7. 7. The apparatus of claim 1, wherein to filter out the leakage signal from each signal in the set of signals to obtain the superposition of the multipath signals for each signal, the at least one processor is configured to, alone or in any combination: Calculating a first Channel Impulse Response (CIR) for each signal in the set of signals; Calculating a second CIR for each signal in the set of signals based on setting channel taps of the first CIR not associated with the leakage signal to zero; Convolving the second CIR with a reference signal to obtain a temporary signal, and The temporary signal is removed from each signal to obtain the multipath signal for each signal.
8. 8. The apparatus of claim 7, wherein the leakage signal corresponds to a first X channel taps in the first CIR, wherein X is an integer.
9. 9. The apparatus of claim 7, wherein the reference signal is a signal that has not been sent by the UE on a channel.
10. 10. The apparatus of claim 1, wherein the at least one processor, alone or in any combination, is further configured to: An indication of the identified presence of the at least one moving object is output.
11. 11. The apparatus of claim 10, wherein to output the indication of the identified presence of the at least one moving object, the at least one processor is configured to, alone or in any combination: transmitting the indication of the identified presence of the at least one mobile object, or The indication of the identified presence of the at least one mobile object is stored.
12. 12. The apparatus of claim 1, wherein to receive the set of signals within the time period, the at least one processor is configured to, alone or in any combination: Each signal in the set of signals is received at a different time in the time period.
13. 13. The apparatus of claim 1, wherein to receive the set of signals, the at least one processor is configured to, alone or in any combination: the set of signals is received via the at least one transceiver at the UE.
14. 14. The apparatus of claim 1, wherein the leakage signal is associated with at least one transmit (Tx) antenna of the UE.
15. 15. A method of wireless communication at a User Equipment (UE), the method comprising: Receiving a set of signals over a period of time, wherein each signal in the set of signals comprises a superposition of a multipath signal traversed by the signal and a leakage signal; Filtering the leakage signal from each signal in the set of signals to obtain the superposition of the multipath signals for each signal; Detecting whether there is a difference across the filtered signal sets within the time period, and The presence of at least one moving object is identified in response to the detection of the discrepancy.
16. 16. The method of claim 15, the method further comprising: a distance from each of the at least one moving object to the UE is calculated based on the differences.
17. 17. The method of claim 16, wherein calculating the distance from each of the at least one moving object to the UE comprises: an index identifying peaks in the variance for each moving object; Determining a path delay associated with the index of the peak in the variance of each moving object, and The distance from each moving object to the UE is calculated based on the path delay of each moving object.
18. 18. The method of claim 15, the method further comprising: transmitting said set of signals prior to said receiving of said set of signals during said period of time, and Wherein receiving the set of signals during the time period comprises receiving the set of signals after the set of signals is reflected from one or more objects, wherein the one or more objects comprise the at least one moving object.
19. 19. The method of claim 15, wherein the at least one moving object comprises at least one living being.
20. 20. The method of claim 15, wherein receiving the set of signals comprises: A Channel Impulse Response (CIR) of the set of signals is measured.

Description

Occupancy detection and range estimation using wi-fi radar Cross Reference to Related Applications The present application claims the benefit of U.S. non-provisional patent application serial No. 18/491,698, entitled "OCCUPANCY DETECTION AND RANGE ESTIMATION USING WI-FI RADAR (occupancy detection and range estimation using WI-FI RADAR)" and filed on date 10/20 of 2023, which is expressly incorporated herein by reference in its entirety. Technical Field The present disclosure relates generally to communication systems, and more particularly to wireless communication with respect to object detection. Background Wireless communication systems are widely deployed to provide various telecommunication services such as telephony, video, data, messaging, and broadcast. A typical wireless communication system may employ multiple-access techniques capable of supporting communication with multiple users by sharing the available system resources. Examples of such multiple-access techniques include Code Division Multiple Access (CDMA) systems, time Division Multiple Access (TDMA) systems, frequency Division Multiple Access (FDMA) systems, orthogonal Frequency Division Multiple Access (OFDMA) systems, single carrier frequency division multiple access (SC-FDMA) systems, and time division synchronous code division multiple access (TD-SCDMA) systems. These multiple access techniques have been employed in various telecommunications standards to provide a common protocol that enables different wireless devices to communicate at the urban, national, regional, and even global levels. One example telecommunications standard is 5G New Radio (NR). The 5G NR is part of the ongoing mobile broadband evolution promulgated by the third generation partnership project (3 GPP) to meet new requirements associated with latency, reliability, security, scalability (e.g., with the internet of things (IoT)) and other requirements. The 5G NR includes services associated with enhanced mobile broadband (eMBB), large-scale machine-type communications (mMTC), and ultra-reliable low-latency communications (URLLC). Some aspects of 5G NR may be based on the 4G Long Term Evolution (LTE) standard. Further improvements in the 5G NR technology are needed. Furthermore, these improvements may also be applicable to other multiple access techniques and telecommunication standards employing these techniques. Disclosure of Invention The following presents a simplified summary of one or more aspects in order to provide a basic understanding of such aspects. This summary is not an extensive overview of all contemplated aspects. This summary does not identify key or critical elements of all aspects nor delineate the scope of any or all aspects. Its sole purpose is to present some concepts of one or more aspects in a simplified form as a prelude to the more detailed description that is presented later. In an aspect of the disclosure, a method, computer-readable medium, and apparatus are provided. The apparatus receives a set of signals over a period of time, wherein each signal in the set of signals includes a superposition of a multipath signal traversed by the signal and a leakage signal. The apparatus filters the leakage signal from each signal in the set of signals to obtain the superposition of the multipath signals for each signal. The apparatus detects whether there is a difference across the filtered signal set during the time period. The apparatus identifies a presence of at least one moving object in response to the detection of the discrepancy. To the accomplishment of the foregoing and related ends, one or more aspects may comprise the features hereinafter fully described and particularly pointed out in the claims. The following description and the annexed drawings set forth in detail certain illustrative features of the one or more aspects. These features are indicative, however, of but a few of the various ways in which the principles of various aspects may be employed. Drawings Fig. 1 is a diagram illustrating an example of a wireless communication system and an access network. Fig. 2A is a diagram illustrating an example of a first frame in accordance with various aspects of the present disclosure. Fig. 2B is a diagram illustrating an example of a Downlink (DL) channel within a subframe according to various aspects of the present disclosure. Fig. 2C is a diagram illustrating an example of a second frame in accordance with various aspects of the present disclosure. Fig. 2D is a diagram illustrating an example of an Uplink (UL) channel within a subframe according to various aspects of the disclosure. Fig. 3 is a diagram illustrating an example of a base station and a User Equipment (UE) in an access network. Fig. 4 is a diagram illustrating an example of UE positioning based on reference signal measurements. Fig. 5 is a diagram illustrating an example of passive positioning based on Radio Frequency (RF) sensing in accordance with various aspects of the