• Photonics Research
  • Vol. 7, Issue 2, 172 (2019)
Xu Wang1, Feng Zhou1, Dingshan Gao1, Yanxian Wei1, Xi Xiao2、3, Shaohua Yu2, Jianji Dong1、*, and Xinliang Zhang1
Author Affiliations
  • 1Wuhan National Laboratory for Optoelectronics, School of Optical and Electronic Information, Huazhong University of Science and Technology, Wuhan 430074, China
  • 2State Key Laboratory of Optical Communication Technologies and Networks, Wuhan Research Institute of Posts and Telecommunications, Wuhan 430074, China
  • 3e-mail: xxiao@wri.com.cn
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    DOI: 10.1364/PRJ.7.000172 Cite this Article Set citation alerts
    Xu Wang, Feng Zhou, Dingshan Gao, Yanxian Wei, Xi Xiao, Shaohua Yu, Jianji Dong, Xinliang Zhang. Wideband adaptive microwave frequency identification using an integrated silicon photonic scanning filter[J]. Photonics Research, 2019, 7(2): 172 Copy Citation Text show less

    Abstract

    Photonic-assisted microwave frequency identification with distinct features, including wide frequency coverage and fast tunability, has been conceived as a key technique for applications such as cognitive radio and dynamic spectrum access. The implementations based on compact integrated photonic chips have exhibited distinct advantages in footprint miniaturization, light weight, and low power consumption, in stark contrast with discrete optical-fiber-based realization. However, reported chip-based instantaneous frequency measurements can only operate at a single-tone input, which stringently limits their practical applications that require wideband identification capability in modern RF and microwave applications. In this article, we demonstrate, for the first time, a wideband, adaptive microwave frequency identification solution based on a silicon photonic integrated chip, enabling the identification of different types of microwave signals from 1 to 30 GHz, including single-frequency, multiple-frequency, chirped-frequency, and frequency-hopping microwave signals, and even their combinations. The key component is a high Q-factor scanning filter based on a silicon microring resonator, which is used to implement frequency-to-time mapping. This demonstration opens the door to a monolithic silicon platform that makes possible a wideband, adaptive, and high-speed signal identification subsystem with a high resolution and a low size, weight, and power (SWaP) for mobile and avionic applications.
    funknown=At2+Bt+C,(1)

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    σRF=i=1N[fe(i)fin(i)]2N.(2)

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    fd(t)=fs(t)fin(t).(3)

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    Pout(t)=e[fd(t)k]2,(4)

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    σband=i=1N[Be(i)Bin(i)Bin(i)]2N,(5)

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    σcenter=i=1N[Ce(i)Cin(i)]2N.(6)

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    Xu Wang, Feng Zhou, Dingshan Gao, Yanxian Wei, Xi Xiao, Shaohua Yu, Jianji Dong, Xinliang Zhang. Wideband adaptive microwave frequency identification using an integrated silicon photonic scanning filter[J]. Photonics Research, 2019, 7(2): 172
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