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  1. AU="Zhou, Yuewen"
  2. AU="Lynch, Stephen M"
  3. AU=Collins Jannette
  4. AU=Kim Soo-Kyoung
  5. AU=Atkinson Sarah H.
  6. AU=Ma Chunlong
  7. AU="Park, Youngjin"
  8. AU="Lakbita, Omar"
  9. AU=ElGokhy Sherin M
  10. AU="Stegmaier, Sabine"
  11. AU="Simons, Gemma N"
  12. AU="Domínguez-Zorita, Sonia"
  13. AU="Nakashima, Ayaka"
  14. AU="Skorecki, Karl"
  15. AU=Ibrahim Salwa
  16. AU=Geocadin Romergryko G
  17. AU="Leroy, J"
  18. AU="Wilson, Peter H"
  19. AU="Cunha, Carla Baroni"

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  1. Artikel ; Online: Microwave photonic I/Q mixer for wideband frequency downconversion with serial electro-optical modulations.

    Zhou, Yuewen / Kong, Jiayuan / Zhang, Fangzheng / Pan, Shilong

    Optics letters

    2023  Band 49, Heft 1, Seite(n) 65–68

    Abstract: In this paper, we propose a serial electro-optical (EO)-modulation-based microwave photonic in-phase and quadrature (I/Q) mixer and investigate its performance for wideband frequency downconversion. The proposed I/Q mixer uses two EO modulators and a ... ...

    Abstract In this paper, we propose a serial electro-optical (EO)-modulation-based microwave photonic in-phase and quadrature (I/Q) mixer and investigate its performance for wideband frequency downconversion. The proposed I/Q mixer uses two EO modulators and a programmable optical processor in a serially cascaded structure, which ensures good phase stability and flexibility to achieve high-performance broadband frequency downconversion. A proof-of-concept experiment is carried out in which the frequency downconversion of the RF signals in the range from 10 to 40 GHz is demonstrated with an average image rejection ratio of 38.66 dB. The spurious-free dynamic range (SFDR) measured at around 15 GHz is 86 dBc·Hz
    Sprache Englisch
    Erscheinungsdatum 2023-12-22
    Erscheinungsland United States
    Dokumenttyp Journal Article
    ISSN 1539-4794
    ISSN (online) 1539-4794
    DOI 10.1364/OL.510130
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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  2. Artikel ; Online: Deep-learning-based time-frequency domain signal recovery for fiber-connected radar networks.

    Zhou, Yuewen / Zhang, Fangzheng / Pan, Shilong

    Optics letters

    2021  Band 47, Heft 1, Seite(n) 50–53

    Abstract: A deep-learning-based time-frequency domain signal recovery method is proposed to deal with the signal distortion in fiber-connected radar networks. In this method, the deteriorated signal is converted to the time-frequency domain, and a two-dimensional ... ...

    Abstract A deep-learning-based time-frequency domain signal recovery method is proposed to deal with the signal distortion in fiber-connected radar networks. In this method, the deteriorated signal is converted to the time-frequency domain, and a two-dimensional convolutional neural network is used to conduct signal recovery before inverse conversion to the time domain. This method can achieve high-accuracy signal recovery by learning the complete features in both time and frequency domains. In the experiment, distorted linear frequency modulated radar signals with a bandwidth of 2 GHz after 8-km fiber transmission are recovered with the noise effectively suppressed. The proposed signal recovery method works well under different input signal-to-noise ratios. Specially, the average peak to floor ratio after radar pulse compression is improved by 25.5 dB. In addition, the method is proved to be able to recover radar signals of multiple targets.
    Sprache Englisch
    Erscheinungsdatum 2021-12-24
    Erscheinungsland United States
    Dokumenttyp Journal Article
    ISSN 1539-4794
    ISSN (online) 1539-4794
    DOI 10.1364/OL.446000
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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  3. Artikel ; Online: Deep neural network-assisted high-accuracy microwave instantaneous frequency measurement with a photonic scanning receiver.

    Zhou, Yuewen / Zhang, Fangzheng / Shi, Jingzhan / Pan, Shilong

    Optics letters

    2020  Band 45, Heft 11, Seite(n) 3038–3041

    Abstract: A microwave instantaneous frequency measurement system with a photonic scanning receiver is proposed in which deep neural network (DNN)-assisted frequency estimation is used to deal with the system defects and improve the accuracy. The system performs ... ...

    Abstract A microwave instantaneous frequency measurement system with a photonic scanning receiver is proposed in which deep neural network (DNN)-assisted frequency estimation is used to deal with the system defects and improve the accuracy. The system performs frequency-to-time mapping by optical-domain frequency scanning and electrical-domain intermediate frequency envelop detection. Thanks to the optical frequency multiplication, the system can measure high frequency signals in a large spectral range. The DNN establishes an accurate mapping between the digital samples and real frequencies, based on which high-accuracy measurement is achieved. The measurement of signals from 43 to 52 GHz is experimentally demonstrated. Compared with the direct measurements, the DNN-assisted method achieves obviously reduced average errors of about 3.2 MHz.
    Sprache Englisch
    Erscheinungsdatum 2020-06-01
    Erscheinungsland United States
    Dokumenttyp Journal Article
    ISSN 1539-4794
    ISSN (online) 1539-4794
    DOI 10.1364/OL.391883
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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  4. Artikel ; Online: Photonics-based 3D radar imaging with CNN-assisted fast and noise-resistant image construction.

    Sun, Guanqun / Zhang, Fangzheng / Gao, Bindong / Zhou, Yuewen / Xiang, Yu / Pan, Shilong

    Optics express

    2021  Band 29, Heft 13, Seite(n) 19352–19361

    Abstract: Photonics-based high-resolution 3D radar imaging is demonstrated in which a convolutional neural network (CNN)-assisted back projection (BP) imaging method is applied to implement fast and noise-resistant image construction. The proposed system uses a 2D ...

    Abstract Photonics-based high-resolution 3D radar imaging is demonstrated in which a convolutional neural network (CNN)-assisted back projection (BP) imaging method is applied to implement fast and noise-resistant image construction. The proposed system uses a 2D radar array with each element being a broadband radar transceiver realized by microwave photonic frequency multiplication and mixing. The CNN-assisted BP image construction is achieved by mapping low-resolution images to high-resolution images with a pre-trained 3D CNN, which greatly reduces the computational complexity and enhances the imaging speed compared with basic BP image construction. Besides, using noise-free or low-noise ground truth images for training the CNN, the CNN-assisted BP imaging method can suppress the noises, which helps to generate high-quality images. In the experiment, 3D radar imaging with a K-band photonics-based radar having a bandwidth of 8 GHz is performed, in which the imaging speed is enhanced by a factor of ∼55.3 using the CNN-assisted BP imaging method. By comparing the peak signal to noise ratios (PSNR) of the generated images, the noise-resistant capability of the CNN-assisted BP method is soundly verified.
    Sprache Englisch
    Erscheinungsdatum 2021-07-13
    Erscheinungsland United States
    Dokumenttyp Journal Article
    ZDB-ID 1491859-6
    ISSN 1094-4087 ; 1094-4087
    ISSN (online) 1094-4087
    ISSN 1094-4087
    DOI 10.1364/OE.427889
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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  5. Artikel ; Online: Photonic scanning receiver for wide-range microwave frequency measurement by photonic frequency octupling and in-phase and quadrature mixing.

    Shi, Jingzhan / Zhang, Fangzheng / Zhou, Yuewen / Pan, Shilong / Wang, Yiping / Ben, De

    Optics letters

    2020  Band 45, Heft 19, Seite(n) 5381–5384

    Abstract: A photonic scanning receiver with optical frequency scanning and electrical intermediate frequency envelope detection is proposed to implement wide-range microwave frequency measurement. This system applies photonic in-phase and quadrature frequency ... ...

    Abstract A photonic scanning receiver with optical frequency scanning and electrical intermediate frequency envelope detection is proposed to implement wide-range microwave frequency measurement. This system applies photonic in-phase and quadrature frequency mixing to distinguish and measure the signals in two frequency bands that mirror each other. Combined with the photonic frequency octupling technique, the proposed system has a frequency measurement range that is 16 times that of the sweeping range of the electrical signal source. Besides, optical frequency sweeping with up and down chirps is used to relax the requirement for precise synchronization between the sweeping source and the analog-to-digital converter. In the experiment, using an electrical sweeping local oscillator having a bandwidth of 1.75 GHz, the system achieves a frequency measurement range as large as 28 GHz. The measurement errors are kept within 24 MHz with an average error of 9.31 MHz.
    Sprache Englisch
    Erscheinungsdatum 2020-10-02
    Erscheinungsland United States
    Dokumenttyp Journal Article
    ISSN 1539-4794
    ISSN (online) 1539-4794
    DOI 10.1364/OL.400918
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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  6. Buch: Tang xian zu zhuan

    Gong, Chongmo / Luo, Chuanqi / Zhou, Yuewen

    1986  

    Verfasserangabe Gong chong mo, luo chuan qi, zhou yue wen
    Schlagwörter Dramatists, Chinese/Biography
    Sprache Chinesisch
    Umfang 2, 227 p., [12] p. of plates, ill., ports, 21 cm
    Ausgabenhinweis Di 1 ban
    Verlag Jiang xi ren min chu ban she
    Erscheinungsort Nan chang
    Dokumenttyp Buch
    Anmerkung Includes bibliographical references
    Datenquelle Ehemaliges Sondersammelgebiet Küsten- und Hochseefischerei

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