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A Disambiguation Method for Dual-Comb Sampling Frequency Measurement Based on Phase Analysis | IEEE Journals & Magazine | IEEE Xplore

A Disambiguation Method for Dual-Comb Sampling Frequency Measurement Based on Phase Analysis


Abstract:

A disambiguation method for dual-comb sampling frequency measurement is proposed and experimentally demonstrated. For dual-comb sampling frequency measurement, multiple s...Show More

Abstract:

A disambiguation method for dual-comb sampling frequency measurement is proposed and experimentally demonstrated. For dual-comb sampling frequency measurement, multiple solutions may exist if only the frequency information of the output signal is employed for disambiguation. By further exploiting the phase relationship between the intermediate frequencies and the first harmonics of the two sampling rates, most of the ambiguous frequencies can be distinguished in our experiment. The experiment results also indicate that nonideal phase response of the devices will reduce the performance of the method especially in high frequencies. To solve the problem, an improved method, in which the variations of the phases are observed and used to solve the ambiguity, is given so that the method is free from the calibration of the nonideal phase response.
Published in: Journal of Lightwave Technology ( Volume: 40, Issue: 14, 15 July 2022)
Page(s): 4674 - 4681
Date of Publication: 26 April 2022

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I. Introduction

Radio signal spectrum sensing technology is of great importance in electronic warfare (EW), radar and wireless communications [1]–[3]. The frequency information can be used for emitter de-interleaving, signal-recognition and adaptive transmission. However, conventional electronic frequency measurement receivers have a limited operation range due to electronic bottleneck. Featuring broad bandwidth, high flexibility and immunity to electromagnetic interference [4], [5], microwave photonic frequency measurement provides an effective solution to meet future demands of multi-tone signal detection, real-time processing and large bandwidth.

Select All
1.
A. De Martino, Introduction to Modern EW Systems, Boston, MA, USA:Artech House, 2012.
2.
D. Adamy, EW101: A First Course in Electronic Warfare, Norwood, MA, USA:Artech House, 2001.
3.
R. Llorente, M. Morant, J. Puche, J. Romme and T. Alves, "Sensing ultra-low-power radio signals by photonic analog-to-digital conversion", pp. 1-2, Sep. 2009.
4.
A. J. Seeds, "Microwave photonics", IEEE Trans. Microw. Theory Techn., vol. 50, no. 3, pp. 877-887, Mar. 2002.
5.
J. Capmany and D. Novak, "Microwave photonics combines two worlds", Nature Photon., vol. 1, no. 6, pp. 319-330, Jun. 2007.
6.
D. L. Adamy, Introduction to Electronic Warfare Modeling and Simulation, Raleigh, NC, USA:SciTech Publishing, 2006.
7.
H. Chi et al., "Microwave spectral analysis based on photonic compressive sampling with random demodulation", Opt. Lett., vol. 37, no. 22, pp. 4636-4638, Nov. 2012.
8.
G. Hu et al., "Measurement of absolute frequency of continuous-wave terahertz radiation in real time using a free-running dual-wavelength mode-locked erbium-doped fibre laser", Sci. Rep., vol. 7, no. 1, pp. 1-11, Feb. 2017.
9.
S. R. Harmon and J. D. McKinney, "Broadband RF disambiguation in subsampled analog optical links via intentionally-introduced sampling jitter", Opt. Exp., vol. 22, no. 20, pp. 23928-23937, Sep. 2014.
10.
S. R. Harmon and J. D. McKinney, "Precision broadband RF signal recovery in subsampled analog optical links", IEEE Photon. Technol. Lett., vol. 27, no. 6, pp. 620-623, Mar. 2015.
11.
Y. X. Ma et al., "Broadband high-resolution microwave frequency measurement based on low-speed photonic analog-to-digital converters", Opt. Exp., vol. 25, no. 3, pp. 2355-2368, Feb. 2017.
12.
X. Zhao et al., "Dead-band-free high-resolution microwave frequency measurement using a free-running triple-comb fiber laser", IEEE J. Sel. Topic Quantum Electron., vol. 24, no. 3, May/Jun. 2018.
13.
Y. Yang, S. Xie, Y. Dong, T. Wang and X. Zhao, "A frequency recovering method for photonic under-sampling E-field measurement", IEEE Sensors J., vol. 21, no. 12, pp. 13495-13505, Jun. 2021.
14.
S. Qaisar, R. M. Bilal, W. Iqbal, M. Naureen and S. Lee, "Compressive sensing: From theory to applications a survey", J. Commun. Netw., vol. 15, no. 5, pp. 443-456, Oct. 2013.
15.
Q. Guo, Y. Liang, M. Chen, H. Chen, S. Yang and S. Xie, "Time-interleaved 20-GHz modulated wideband converter based on random optical sampling", IEEE Photon. Technol. Lett., vol. 27, no. 9, pp. 1022-1025, May 2015.
16.
T. P. McKenna, J. H. Kalkavage, M. D. Sharp and T. R. Clark, "Wideband photonic compressive sampling system", J. Lightw. Technol., vol. 34, no. 11, pp. 2848-2855, Jun. 2016.
17.
B. Yang, H. Chi, S. Yang, Z. Cao, J. Ou and Y. Zhai, "Broadband microwave spectrum sensing based on photonic RF channelization and compressive sampling", IEEE Photon. J., vol. 12, no. 1, Feb. 2020.
18.
M. S. Alshaykh et al., "Rapid wideband RF subsampling and disambiguation using dual combs", Proc. CLEO: Sci. Innov., 2019.
19.
X. Li, A. Wen, X. Li and J. Zhao, "Wideband RF subsampling and disambiguation based on phase shift analysis", J. Lightw. Technol., vol. 40, no. 4, pp. 1027-1035, Nov. 2021.

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References

References is not available for this document.