IP Library Granted Patent US 12,596,019
Granted Patent B1
US 12,596,019 · App. 18/603,585 · Granted Apr 7, 2026

RF spectrum analyzer using Rayleigh backscattering

Inventors: Matthew J. Murray (Alexandria, VA); Joseph B. Murray (Ellicott City, MD); Ross T. Schermer (Fairfax Station, VA); Jason McKinney (West Lafayette, IN); Brandon F. Redding (University Park, MD)
Assignee: The Government of the United States of America, as represented by the Secretary of the Navy
G01D5/35361
View Patent ↗
Loading inventors, assignments & file history…
Monitor This Case
Get email alerts when status or documents change.
Order Certified Copies
Most orders are placed with the USPTO same day — all within 24 business hours.
Order via The Patent Place →
Pre-filled with this patent's details
Quick Facts
Patent No.
US 12,596,019
App. No.
18/603,585
Granted
Apr 7, 2026
Kind
B1
Abstract

An apparatus receives a radio frequency (“RF”) signal. The apparatus includes a first modulator encoding the RF signal on an optical carrier. The optical carrier includes a plurality of sidebands. The apparatus includes a filter operably coupled to the first modulator and passing therethrough an isolated sideband of the plurality of sidebands. The apparatus includes a Rayleigh-backscattering (“RBS”) speckle spectrometer. The RBS speckle spectrometer includes a second modulator receiving the isolated sideband and modulating the isolated sideband into alternating short and long, interrogation pulses. The RF speckle spectrometer generates a first collected signal based on Raleigh backscattered light in a first polarization and a second collected signal based on Raleigh backscattered light in a second polarization. The apparatus includes a processor receiving the first collected signal and the second collected signal, and recovering therefrom the RF spectrum of the RF signal.

Claims (65)

1 . An apparatus comprising:

a radio frequency (“RF”) spectrum analyzer receiving an RF signal, the RF signal comprising an RF spectrum, said RF spectrum analyzer comprising:

a first modulator encoding the RF signal on an optical carrier, the optical carrier comprising a plurality of sidebands; and

a filter operably coupled with said first modulator and passing therethrough an isolated sideband of the plurality of sidebands;

a Rayleigh-backscatter speckle spectrometer comprising:

a second modulator receiving the isolated sideband and modulating the isolated sideband into alternating short and long; interrogation pulses;

a first amplifier amplifying the modulated, isolated sideband;

an optical fiber receiving the amplified, modulated, isolated sideband, said optical fiber outputting Rayleigh backscattered light propagating through the fiber in a direction opposite to that of the amplified, modulated, isolated sideband;

a first photodetector operably coupled to said optical fiber and collecting therefrom the Raleigh backscattered light in a first polarization, said first photodetector generating a first collected signal; and

a second photodetector operably coupled to said optical fiber and collecting therefrom the Raleigh backscattered light in a second polarization, said second photodetector generating a second collected signal; and

a processor receiving the first collected signal and the second collected signal, and recovering therefrom the RF spectrum.

2 . The apparatus according to claim 1 , further comprising:

a narrow linewidth laser transmitting the optical carrier to said first modulator.

3 . The apparatus according to claim 1 , wherein said filter comprises a bandpass filter.

4 . The apparatus according to claim 1 , wherein said optical fiber comprises one of a single-mode optical fiber and a multi-mode optical fiber.

5 . The apparatus according to claim 1 , wherein said optical fiber comprises a fiber length,

wherein the short and long; interrogation pulses are separated by a pulse separation corresponding to the fiber length.

6 . The apparatus according to claim 1 , further comprising:

a second amplifier receiving the Rayleigh backscattered light from said optical fiber and amplifying the Rayleigh backscattered light.

7 . The apparatus according to claim 6 , wherein said first amplifier and said second amplifier comprise erbium-doped fiber amplifiers.

8 . The apparatus according to claim 1 , further comprising:

a circulator coupled to said optical fiber, the Rayleigh backscattered light generated in the fiber being coupled out of said fiber; and

a polarizing beam splitter coupled to the circulator, said polarizing beam splitter receiving the Rayleigh backscattered light from the circulator, said polarizing beam splitter transmitting light with a first polarization to said first photodetector, and said polarizing beam splitter transmitting light with a second polarization to said second photodetector.

9 . The apparatus according to claim 1 , wherein said processor recovers the RF spectrum from the first collected signal and the second collected signal using compressed sensing.

10 . The apparatus according to claim 9 , wherein the first collected signal comprises first short pulse data and first long pulse data,

wherein the second collected signal comprises second short pulse data and second long pulse data,

wherein said processor recovers the RF spectrum by:

recovering a coarse resolution spectrum from the first short pulse data and the second short pulse data; and

recovering a fine resolution spectrum from the first long pulse data and the second long pulse data based on the recovered coarse resolution spectrum, the fine resolution spectrum being the recovered RF spectrum.

11 . A method comprising:

providing a radio frequency (“RF”) spectrum analyzer receiving an RF signal, the RF signal comprising at least one RF tone and an RF spectrum, the RF spectrum including an RF frequency range, the RF spectrum analyzer comprising:

a Rayleigh-backscatter speckle spectrometer; and

a processor communicating with the Rayleigh-backscatter speckle spectrometer and recovering the RF spectrum;

initializing the RF spectrum analyzer by measuring a plurality of initial speckle intensity patterns across the RF frequency range;

measuring a calibration speckle intensity pattern generated by a single calibration frequency in the RF spectrum, using the processor;

comparing the calibration speckle intensity pattern to the plurality of initial speckle intensity patterns to determine an optical frequency shift, using the processor; and

recalibrating the RF spectrum analyzer by shifting the recovered RF spectrum by a frequency equal to the optical frequency shift, using the processor.

12 . The method according to claim 11 , wherein the RF spectrum analyzer further comprises:

a first modulator encoding the RF signal, the encoded RF signal comprising a plurality of sidebands; and

a filter operably coupled with the first modulator and passing therethrough an isolated sideband of the plurality of sidebands,

wherein the Rayleigh-backscatter speckle spectrometer comprises:

a second modulator receiving the isolated sideband and modulating the isolated sideband into alternating short and long; interrogation pulses;

a first amplifier amplifying the modulated, isolated sideband;

an optical fiber receiving the amplified, modulated, isolated sideband, said optical fiber outputting Rayleigh backscattered light propagating through the fiber in a direction opposite to that of the amplified, modulated, isolated sideband;

a first photodetector operably coupled to the optical fiber and collecting therefrom the Raleigh backscattered light in a first polarization, the first photodetector generating a first collected signal; and

a second photodetector operably coupled to the optical fiber and collecting therefrom the Raleigh backscattered light in a second polarization, the second photodetector generating a second collected signal,

wherein the processor receives the first collected signal and the second collected signal, and recovers therefrom the RF spectrum.

13 . A method comprising:

providing a radio frequency (“RF”) spectrum analyzer receiving simultaneously an RF signal and a calibration signal, the RF signal comprising at least one RF tone and an RF spectrum, the RF spectrum including an RF frequency range, the calibration signal comprising a single calibration frequency, the RF spectrum analyzer comprising:

a Rayleigh-backscatter speckle spectrometer; and

a processor communicating with the Rayleigh-backscatter speckle spectrometer and recovering the RF spectrum;

initializing the RF spectrum analyzer by measuring a plurality of initial speckle intensity patterns across the RF frequency range;

measuring a calibration speckle intensity pattern generated by the single calibration frequency in the RF spectrum;

comparing the calibration speckle intensity pattern to the plurality of initial speckle intensity patterns to determine an optical frequency shift; and

recalibrating the RF spectrum analyzer by shifting the recovered RF spectrum to compensate for the optical frequency shift, using the processor.

14 . The method according to claim 13 , wherein the RF spectrum analyzer further comprises:

a first modulator encoding the RF signal, the encoded RF signal comprising a plurality of sidebands; and

a filter operably coupled with the first modulator and passing therethrough an isolated sideband of the plurality of sidebands,

wherein the Rayleigh-backscatter speckle spectrometer comprises:

a second modulator receiving the isolated sideband and modulating the isolated sideband into alternating short and long, interrogation pulses;

a first amplifier amplifying the modulated, isolated sideband;

an optical fiber receiving the amplified, modulated, isolated sideband, said optical fiber outputting Rayleigh backscattered light propagating through the fiber in a direction opposite to that of the amplified, modulated, isolated sideband;

a first photodetector operably coupled to the optical fiber and collecting therefrom the Raleigh backscattered light in a first polarization, the first photodetector generating a first collected signal; and

a second photodetector operably coupled to the optical fiber and collecting therefrom the Raleigh backscattered light in a second polarization, the second photodetector generating a second collected signal,

wherein the processor receives the first collected signal and the second collected signal, and recovers therefrom the RF spectrum.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Mar 13, 2024
From: MURRAY, MATTHEW J.; MURRAY, JOSEPH B.; SCHERMER, ROSS T.; MCKINNEY, JASON; REDDING, BRANDON F.
To: THE GOVERNMENT OF THE UNITED STATES OF AMERICA, AS REPRESENTED BY THE SECRETARY OF THE NAVY
Reel/Frame 066751/0015 →
Continuity (1)
Provisional Application 63452213 · Mar 15, 2023
References Cited (42)
US 4699466A · Brandstetter · 1987 [cited by examiner]
US 6307655B1 · Jelks · 2001 [cited by examiner]
US 6417957B1 · Yao · 2002 [cited by examiner]
US 8159736B2 · Maleki · 2012 [cited by examiner]
US 9413372B1 · Valley · 2016 [cited by examiner]
US 9923631B1 · Moilanen · 2018 [cited by examiner]
US 11996889B2 · Buckley · 2024 [cited by examiner]
US 20030011850A1 · Sidorovich · 2003 [cited by examiner]
US 20050025271A1 · Molisch · 2005 [cited by examiner]
US 20110150484A1 · Wang · 2011 [cited by examiner]
US 20120002972A1 · Stiffler · 2012 [cited by examiner]
US 20140269841A1 · Goodman · 2014 [cited by examiner]
US 20140314005A1 · Sagong · 2014 [cited by examiner]
US 20170222721A1 · Dailey · 2017 [cited by examiner]
US 20180165248A1 · Valley · 2018 [cited by examiner]
US 20190072601A1 · Dzierwa · 2019 [cited by examiner]
US 20190212377A1 · Song · 2019 [cited by examiner]
US 20200069165A1 · Thomson · 2020 [cited by examiner]
US 20210103049A1 · Blanche · 2021 [cited by examiner]
Kim et al., An Interior-Point Method for Large-Scale &1-Regularized Least Squares, IEEE Journal of Selected Topics in Signal Processing, Dec. 2007, pp. 606-617, vol. 1, No. 4, Institute of Electrical and Electronics Eng… [cited by applicant]
Donoho, David, L., Compressed Sensing, IEEE Transactions on Information Theory, Apr. 2006, pp. 1289-1306, vol. 52, No. 4, Institute of Electrical and Electronics Engineers, Piscataway, NJ, USA. [cited by applicant]
Zhang, Zhaopeng et al., A Novel Wavemeter With 64 Attometer Spectral Resolution Based on Rayleigh Speckle Obtained From Single-Mode Fiber, Journal of Lightwave Technology, Aug. 15, 2020, pp. 4548-4554, vol. 38, No. 16, … [cited by applicant]
Nichols, J. M. et al., Beating Nyquist with light: a compressively sampled photonic link, Optics Express, Apr. 1, 2011, pp. 7339-7348, vol. 19, No. 8, Optica, Washington, DC, USA. [cited by applicant]
Tropp, Joel A. et al., Beyond Nyquist: Efficient Sampling of Sparse Bandlimited Signals, IEEE Transactions on Information Theory, Jan. 1, 2010, pp. 520-544, vol. 56, No. 1, Institute of Electrical and Electronics Engine… [cited by applicant]
Colice, Max et al., Broadband radio-frequency spectrum analysis in spectral-hole-burning media, Applied Optics, Sep. 1, 2006, pp. 6393-6408, vol. 45, No. 25, Optica, Washington, DC, USA. [cited by applicant]
Harmon, Sharon R. et al., Broadband RF disambiguation in subsampled analog optical links via intentionally-introduced sampling jitter, Optics Express, Oct. 6, 2014, pp. 23928-23937, vol. 22, No. 20, Optica, Washington, … [cited by applicant]
Chen, Ying et al. Compressive sensing in a photonic link with optical integration, Optics Letters, Apr. 15, 2014, pp. 2222-2224, vol. 39, No. 8, Optica, Washington, DC, USA. [cited by applicant]
Valley, George C. et al., Compressive sensing of sparse radio frequency signals using optical mixing, Optics Letters, Nov. 15, 2012, pp. 4675-4677, vol. 37, No. 22, Optica, Washington, DC, USA. [cited by applicant]
Mishali, Moshe, et al., From Theory to Practice: Sub-Nyquist Sampling of Sparse Wideband Analog Signals, IEEE Journal of Selected Topics in Signal Processing, Apr. 2010, pp. 375-391, vol. 4, No. 2, Institute of Electric… [cited by applicant]
Wan, Yangyang, et al., High-resolution wavemeter using Rayleigh speckle obtained by optical time domain reflectometry, Optics Letters, Feb. 15, 2020, pp. 799-802, vol. 45, No. 4., Optica, Washington, DC, USA. [cited by applicant]
Kelley, Matthew, et al., High-speed signal reconstruction for an RF spectrometer based on laser speckle imaging, Proceedings of SPIE 12420, Terahertz, RF, Millimeter, and Submillimeter-Wave Technology and Applications X… [cited by applicant]
Bosworth, Bryan T., et al., High-speed ultrawideband photonically enabled compressed sensing of sparse radio frequency signals, Optics Letters, Nov. 15, 2013, pp. 4892-4895, vol. 38, No. 22, Optica, Washington, DC, USA. [cited by applicant]
Ghelfi, Paolo, et al., Photonics for Ultrawideband RF Spectral Analysis in Electronic Warfare Applications, IEEE Journal of Selected Topics in Quantum Electronics, Jul./Aug. 2019, p. 8900209, vol. 25, No. 4, Institute o… [cited by applicant]
Liew, Seng Fatt et al., Broadband multimode fiber spectrometer, Optics Letters, May 1, 2016, pp. 2029-2032, vol. 41, No. 9, Optica, Washington, DC, USA. [cited by applicant]
Valley, George C., et al., Multimode waveguide speckle patterns for compressive sensing, Optics Letters, May 23, 2016, pp. 2529-2532, vol. 41, No. 11, Optica, Washington, DC, USA. [cited by applicant]
Shmel, R. N., et al., Photonic Compressed Sensing Nyquist Folding Receiver, 2017 IEEE Photonics Conference, Orlando, FL, USA, Oct. 1, 2017, pp. 633-634, DOI: 10.1109/IPCon.2017.8116257, Institute of Electrical and Elect… [cited by applicant]
Borlaug, David B., et al., Photonic integrated circuit based compressive sensing radio frequency receiver using waveguide speckle, Optics Express, Jun. 21, 2021, pp. 19222-19239, vol. 29, No. 13, Optica, Washington, DC,… [cited by applicant]
Kravets, Vladislav, et al., Progressive compressive sensing of large images with multiscale deep learning reconstruction, Nature Portfolio Scientific Reports, May 4, 2022, vol. 12, Article No. A7228, https://doi.org/10.… [cited by applicant]
Redding, Brandon, et al., All-fiber spectrometer based on speckle pattern reconstruction, Optics Express, Mar. 8, 2013, pp. 6584-6600, vol. 21, No. 5, Optica, Washington, DC, USA. [cited by applicant]
Berger, Perrine, et al., RF Spectrum Analyzer for Pulsed Signals: Ultra-Wide Instantaneous Bandwidth, High Sensitivity, and High Time-Resolution, Journal of Lightwave Technology, Oct. 15, 2016, pp. 4658-4663, vol. 34, N… [cited by applicant]
Sefler, George A., et al., Demonstration of speckle-based compressive sensing system for recovering RF signals, Optics Express, Aug. 20, 2018, pp. 21390-21402, vol. 26, No. 17, Optica, Washington, DC, USA. [cited by applicant]
Wan, Yangyang, et al., Wavemeter Capable of Simultaneously Achieving Ultra-High Resolution and Broad Bandwidth by Using Rayleigh Speckle From Single Mode Fiber, Journal of Lightwave Technology, Apr. 1, 2021, pp. 2223-22… [cited by applicant]