Granted Patent B2

US 10,476,730 · App. 16/127,092 · Granted Nov 12, 2019

Inventors: Qinyi Xu (College Park, MD); Yan Chen (Chengdu, CN); Beibei Wang (Clarksville, MD); K. J. Ray Liu (Potomac, MD)

Assignee: ORIGIN WIRELESS, INC.

H04L27/362H04B1/38H04L5/0057H04W72/0413

Abstract

Claims (83)

1. An apparatus ( 1700 ) for human identification, comprising:

a receiver ( 1720 ) configured for receiving at least one wireless signal from a multipath channel that is impacted by a person to be identified;

a processor ( 1730 ); and

a memory communicatively coupled with the processor; wherein the processor is configured for:

extracting channel state information (CSI) from the at least one wireless signal, wherein the CSI represents channel properties of the multipath channel itself,

obtaining radio biometric information based on the CSI, wherein the radio biometric information represents how the at least one wireless signal was impacted by at least part of a body of the person, and

determining an identity of the person based on the radio biometric information.

2. The apparatus of claim 1 , wherein:

the receiver is further configured for receiving a plurality of wireless signals from the multipath channel, wherein each of the plurality of wireless signals was impacted by a different person with a known identity; and

the processor is further configured for:

extracting CSI from each of the plurality of wireless signals,

obtaining radio biometric information based on each CSI, wherein each radio biometric information represents how a corresponding wireless signal was impacted by at least part of a body of a different person with a corresponding known identity, and

storing each radio biometric information in association with the corresponding known identity into a database.

3. The apparatus of claim 2 , wherein determining the identity of the person comprises:

retrieving each stored radio biometric information together with its associated identity from the database;

calculating a degree of similarity between the radio biometric info I anon and each stored radio biometric information;

determining a highest degree of similarity among the degrees of similarity between the radio biometric information and all of the stored radio biometric information;

determining a corresponding identity associated with the stored radio biometric information that gives the highest degree of similarity; and

determining the identity of the person based on the highest degree of similarity and the corresponding identity.

4. The apparatus of claim 3 , wherein determining e identity of the person further comprises:

comparing the highest degree of similarity with a confidence threshold;

determining the identity of the person to be the corresponding identity when the highest degree of similarity is greater than the confidence threshold; and

determining that the identity of the person is unknown when the highest degree of similarity is not greater than the confidence threshold.

5. The apparatus of claim 3 , wherein the degree of similarity is calculated based on at least one of: a time-reversal resonance strength (TRRS), a cross-correlation, an inner product of two vectors, a similarity score, a distance score, a phase correction, a timing correction, a timing compensation, and a phase offset compensation, of the radio biometric information and each stored radio biometric information.

6. The apparatus of claim 1 , wherein at least one of: (a) obtaining radio biometric information based on each CSI comprises:

compensating a phase distortion in the CSI,

obtaining common human radio biometric information and static environment information, and

subtracting the common human radio biometric information and the static environment information from the compensated CSI to obtain the radio biometric information; and

(b) the person to be identified is not within a line-of-sight of the receiver, such that no light can directly pass through a straight path between the person and the receiver.

7. The apparatus of claim 1 , wherein:

the at least one wireless signal is received through a network that is at least one of: Internet, an Internet-protocol network, and another multiple access network; and

the receiver is associated with a physical layer of at least one of: a wireless PAN, IEEE 802.15.1 (Bluetooth), a wireless LAN, IEEE 802.11 (Wi-Fi), a wireless MAN, IEEE 802.16 (WiMax), WiBro, HiperMAN, mobile WAN, GSM, GPRS, EDGE, HSCSD, iDEN, D-MPS, IS-95, PDC, CSD, PHS, WiDEN, CDMA2000, UMTS, 3GSM, CDMA, TDMA, FDMA, W-CDMA, HSDPA, W-CDMA, FOMA, 1×EV-DO, IS-856, TD-SCDMA, GAN, UMA, HSUPA, LTE, 2.5G, 3G, 3.5G, 3.9G, 4G, 5G, 6G, 7G and beyond, another wireless system and another mobile system.

8. The apparatus of claim 2 , wherein obtaining radio biometric information based on each CSI comprises:

estimating a multipath profile based on the CSI extracted from each of the plurality of wireless signals; and

mapping different multipath profiles into a space based on a design of waveforms in a manner such that a similarity between different multipath profiles is minimized and a distance between different multipath profiles in the space is maximized.

9. The apparatus of claim 8 , wherein obtaining radio biometric information based on each CSI further comprises:

designing waveforms for CSI obtained in at least one of time domain and frequency domain;

converting a problem of similarity minimization between different multipath profiles into a dual problem with a simple solution; and

obtaining radio biometric information based on the different multipath profiles after the similarity of the different multipath profiles is minimized.

10. A method, implemented on a machine including at least a receiver, a processor and a memory communicatively coupled with the processor for human identification, comprising:

receiving at least one wireless signal from a multipath channel that is impacted by a person to be identified;

extracting CSI from the at least one wireless signal, wherein the CSI represents channel properties of the multipath channel itself;

obtaining radio biometric information based on the CSI, wherein the radio biometric information represents how the at least one wireless signal was impacted by at least part of a body of the person; and

determining an identity of the person based on the radio biometric information.

11. The method of claim 10 , further comprising:

receiving a plurality of wireless signals from the multi path channel, wherein each of the plurality of wireless signals was impacted by a different person with a known identity;

extracting CSI from each of the plurality of wireless signals;

obtaining radio biometric information based on each CSI, wherein each radio biometric information represents how a corresponding wireless signal was impacted by at least part of a body of a different person with a corresponding known identity; and

storing each radio biometric information in association with the corresponding known identity into a database.

12. The method of claim 11 , wherein determining the identity of the person comprises:

retrieving each stored radio biometric information together with its associated identity from the database;

calculating a degree of similarity between the radio biometric information and each stored radio biometric information;

determining a highest degree of similarity among the degrees of similarity between the radio biometric information and all of the stored radio biometric information;

determining a corresponding identity associated with the stored radio biometric information that gives the highest degree of similarity; and

determining the identity of the person based on the highest degree of similarity and the corresponding identity.

13. The method of claim 12 , wherein determining the identity of the person further comprises:

comparing the highest degree of similarity with a confidence threshold;

determining the identity of the person to be the corresponding identity when the highest degree of similarity is greater than the confidence threshold; and

determining that the identity of the person is unknown when the highest degree of similarity is not greater than the confidence threshold.

14. The method of claim 12 , wherein the degree of similarity is calculated based on at least one of: a TRRS, a cross-correlation, an inner product of two vectors, a similarity score, a distance score, a phase correction, a timing correction, a timing compensation, and a phase offset compensation, of the radio biometric information and each stored radio biometric information.

15. The method of claim 10 , wherein obtaining radio biometric information based on each CSI comprises:

compensating a phase distortion in the CSI;

obtaining common human radio biometric information and static environment nation; and

subtracting the common human radio biometric information and the static environment information from the compensated CSI to obtain the radio biometric information.

16. The method of claim 10 , wherein the person to be identified is not within a line-of-sight of the receiver, such that no light can directly pass through a straight path between the person and the receiver.

17. The method of claim 10 , wherein:

the at least one wireless signal is received through a network that is at least one of: Internet, an Internet-protocol network, and another multiple access network; and

the receiver is associated with a physical layer of at least one of: a wireless PAN, IEEE 802.15,1 (Bluetooth), a wireless LAN, IEEE 802.11 (Wi-Fi), a wireless MAN, IEEE 802.16 (WiMax), WiBro, HiperMAN, mobile WAN, GSM, GPRS, EDGE, HSCSD, iDEN, D-AMPS, IS-95, PDC, CSD, PHS, WiDEN, CDMA2000, UMTS, 3GSM, CDMA, TDMA, FDMA, W-CDMA, HSDPA, W-CDMA, FOMA, 1×EV-DO, IS-856, TD-SCDMA, GAN, UMA, HSUPA, LTE, 2.5G, 3G, 3,5G, 3.9G, 4G, 5G, 6G, 7G and beyond, another wireless system and another mobile system.

18. The method of claim 11 , wherein obtaining radio biometric information based on each CSI comprises:

estimating a multipath profile based on the CSI extracted from each of the plurality of wireless signals; and

mapping different multipath profiles into a space based on a design of wavefoinis in a manner such that a similarity between different multipath profiles is minimized and a distance between different multipath profiles in the space is maximized.

19. The method of claim 18 , wherein obtaining radio biometric information based on each CSI further comprises:

designing waveforms for CSI obtained in at least one of time domain and frequency domain;

converting a problem of similarity minimization between different multipath profiles into a dual problem with a simple solution; and

obtaining radio biometric information based on the differe ltipath profiles after the similarity of the different multipath profiles is minimized.

20. An apparatus ( 1701 ) for human identification, comprising:

a plurality of receivers ( 1722 ) each of which is configured for receiving at least one wireless signal from a multipath channel that is impacted by a person to be identified;

a processor ( 1730 ); and

a memory communicatively coupled with the processor, wherein the processor is configured for:

extracting, regarding each of the plurality of receivers, CSI from the at least one wireless signal, wherein the CSI represents channel properties of the multipath channel itself,

obtaining, from each of the plurality of receivers, radio biometric information based on the CSI, wherein the radio biometric information represents how the at least one wireless signal was impacted by at least part of a body of the person,

combining the radio biometric information obtained from the plurality of receivers to generate combined radio biometric information, and

determining an identity of the person based on the combined radio biometric information.

Assignments (2)

Continuity (66)