IP Library Granted Patent US 12,352,608
Granted Patent B2
US 12,352,608 · App. 18/021,763 · Granted Jul 8, 2025

Augmented telemetry using coupled magnetic resonances

Inventors: Peter Tseng (Irvine, CA); Amirhossein Hajiaghajani (Irvine, CA)
Assignee: The Regents of the University of California
G01D5/22H04B5/24H04B5/26H04B5/263G01D21/00
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Quick Facts
Patent No.
US 12,352,608
App. No.
18/021,763
Granted
Jul 8, 2025
Kind
B2
Abstract

Systems and methods for passive and/or active wireless sensor networks with augmented telemetry using coupled magnetic resonances in accordance with embodiments of the invention are disclosed. In one embodiment, a wireless sensor network is provided, the wireless sensor network comprising a transmitter configured to couple with a reader, a receiver configured to couple with a sensor, wherein the sensor is configured to detect at least one parameter and generate sensor data, wherein the sensor data maps onto the receiver, and wherein the transmitter and the receiver are inductively coupled creating a link between the reader and the sensor.

Claims (24)

1. A wireless sensor network, comprising:

a transmitter configured to couple with a reader, wherein the reader provides a multi-spectral readout;

a receiver configured to couple with a sensor, wherein the sensor is configured to detect at least one parameter and generate sensor data, wherein the sensor data maps onto the receiver;

wherein the transmitter and the receiver are inductively coupled creating a link between the reader and the sensor;

wherein the multi-spectral readout comprising a plurality of frequency peaks;

wherein the multi-spectral readout decouples the sensor data and a distance between the sensor and the reader; and

wherein the sensor data is generated using a summation of the plurality of frequency peaks and the distance between the sensor and reader is generated using a difference calculated between the plurality of frequency peaks.

2. The wireless sensor network of claim 1 , wherein the transmitter comprises a transmitter coil and the receiver comprises a receiver coil.

3. The wireless sensor network of claim 2 , wherein the reader comprises a coil and the reader and the transmitter coil are inductively coupled.

4. The wireless sensor network of claim 3 , wherein the reader and the transmitter coil are inductively coupled with a coupling strength coefficient of k 12 .

5. The wireless sensor network of claim 2 , wherein the sensor comprises at least one circular ring and the receiver coil is further configured to receive the sensor inside of the receiver coil to inductively couple the sensor and the receiver coil.

6. The wireless sensor network of claim 5 , wherein the sensor and the receiver coil are inductively coupled with a coupling strength coefficient of k 34 .

7. The wireless sensor network of claim 2 , wherein the transmitter coil and the receiver coil are configured coaxially.

8. The wireless sensor network of claim 2 , wherein the transmitter coil and the receiver coil are inductively coupled via magnetic resonance.

9. The wireless sensor network of claim 1 , wherein the inductive coupling of the transmitter coil and the receiver coil extends a range of the reader and the sensor.

10. The wireless sensor network of claim 1 , wherein the inductive coupling of the transmitter coil and the receiver coil creates a low-loss channel.

11. The wireless sensor network of claim 1 , wherein the transmitter coil and the receiver coil are inductively coupled with a coupling strength coefficient of k 23 .

12. The wireless sensor network of claim 11 , wherein the coefficient k 23 may be used to determine misalignment of the reader and the sensor.

13. The wireless sensor network of claim 1 , wherein the reader is connected to a vector network analyzer (“VNA”).

14. The wireless sensor network of claim 1 , wherein the sensor is an inductor-resistor-capacitor (“LRC”) resonator and the sensor data comprises a spectrum of frequencies.

15. The wireless sensor network of claim 14 , wherein the LRC resonator is configured to detect at least one chemical.

16. The wireless sensor network of claim 14 , wherein the LRC resonator is configured to detect at least one physical stimulus.

17. The wireless sensor network of claim 1 , wherein the sensor comprises a split-ring resonator.

18. The wireless sensor network of claim 17 , wherein the split-ring resonator comprises a multifunctional material-under-test (“MUT”) configured to detect at least one environmental parameter.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jun 4, 2025
From: TSENG, PETER; HAJIAGHAJANI, AMIRHOSSEIN
To: THE REGENTS OF THE UNIVERSITY OF CALIFORNIA
Reel/Frame 071317/0596 →
Continuity (2)
Provisional Application 63069033 · Aug 22, 2020
Related Publication 20230314181A1 · Oct 5, 2023
References Cited (30)
US 5365173A · Zou et al. · 1994 [cited by applicant]
US 7551058B1 · Johnson et al. · 2009 [cited by applicant]
US 10734697B1 · Tsironis · 2020 [cited by applicant]
US 11005301B1 · Tillotson · 2021 [cited by examiner]
US 20080278264A1 · Karalis · 2008 [cited by examiner]
US 20080281212A1 · Nunez et al. · 2008 [cited by applicant]
US 20100148589A1 · Hamam · 2010 [cited by examiner]
US 20110040498A1 · Huang et al. · 2011 [cited by applicant]
US 20120098348A1 · Inoue · 2012 [cited by examiner]
US 20120161696A1 · Cook et al. · 2012 [cited by applicant]
US 20130310630A1 · Smith · 2013 [cited by examiner]
US 20140002111A1 · Potyrailo et al. · 2014 [cited by applicant]
US 20140035358A1 · Ichikawa · 2014 [cited by examiner]
US 20150243432A1 · Laifenfeld · 2015 [cited by examiner]
US 20160012966A1 · Davis · 2016 [cited by examiner]
US 20170180009A1 · McManus et al. · 2017 [cited by applicant]
US 20170214274A1 · Zhong · 2017 [cited by examiner]
US 20180316388A1 · Lee · 2018 [cited by examiner]
US 20200012008A1 · Chen · 2020 [cited by examiner]
US 20210119488A1 · Sit · 2021 [cited by examiner]
US 20210265873A1 · Yoon · 2021 [cited by examiner]
US 20210391754A1 · Smith · 2021 [cited by examiner]
US 20220038136A1 · Cabrol · 2022 [cited by examiner]
US 20230363735A1 · Cretu · 2023 [cited by examiner]
Baldi, Choi, Ziaie; A self-resonant frequency-modulated micromachined passive pressure transensor; IEEE Sensors Journal, vol. 3, No. 6, Dec. 2003, pp. 728-733. [cited by applicant]
Kurs, et al.; Wireless power transfer via strongly coupled magnetic resonances; Science vol. 317 Jul. 6, 2007, pp. 83-86. [cited by applicant]
Nopper, Has, Reindl; A wireless sensor readout system-circuit concept, simulation, and accuracy; IEEE Transactions on Instrumentation and Measurement, vol. 60, No. 8, Aug. 2011, pp. 2976-2983. [cited by applicant]
Sample, Meyer, Smith; Analysis, experimental results, and range adaptation of magnetically coupled resonators for wireless power; IEEE Transactions on Industrial Electronics, vol. 58, No. 2, pp. 544-554, Feb. 2011. [cited by applicant]
Sanz et al.; Passive resonators for wireless passive sensor readout enhancement; Appl. Phys. Lett. 103, 133502 (2013). [cited by applicant]
Tseng et al.; Functional, RF-Trilayer Sensors for Tooth-Mounted, Wireless Monitoring of the Oral Cavity and Food Consumption. [cited by applicant]