| FUNDAMENTAL AREAS OF PHENOMENOLOGY(INCLUDING APPLICATIONS) |
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Optical Vector Network Analyzer with an Improved Dynamic Range Based on a Polarization Multiplexing Electro-Optic Modulator |
| Qi Wang1,2, Wen-Ting Wang1,2**, Wei Chen1, Jian-Guo Liu1, Ning-Hua Zhu1 |
1Laboratory of Solid State Optoelectronic Information Technology, Institute of Semiconductors, Chinese Academy of Sciences, Beijing 100083
2College of Materials Science and Opto-Electronic Technology, University of Chinese Academy of Sciences, Beijing 100049
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| Cite this article: |
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Qi Wang, Wen-Ting Wang, Wei Chen et al 2017 Chin. Phys. Lett. 34 054205 |
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Abstract We present a new method to achieve an optical vector network analyzer (OVNA) based on a polarization multiplexing electro-optic modulator (PM-EOM) without an optical bandpass filter. Optical single sideband (OSSB) modulated signals with a tunable optical carrier-sideband ratio (OCSR) are obtained at the output of the PM-EOM. The OCSR can be flexibly tuned by controlling bias voltages of the PM-EOM. The dynamic range of the OVNA is expanded by taking the improvement of the OCSR into account. The transmission response of an optical device under test (ODUT) is measured based on one-to-one mapping from optical domain to electrical domain. By optimizing the OCSR of the OSSB modulated signals, the dynamic range of the OVNA can be effectively improved with 3.7 dB. An analytical model is derived to describe the transfer function of the ODUT. The magnitude and phase responses of a fiber Bragg grating are characterized with a large dynamic range.
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Received: 04 November 2016
Published: 29 April 2017
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| PACS: |
42.79.Hp
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(Optical processors, correlators, and modulators)
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42.79.Sz
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(Optical communication systems, multiplexers, and demultiplexers?)
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42.30.Lr
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(Modulation and optical transfer functions)
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42.60.Fc
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(Modulation, tuning, and mode locking)
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42.25.Ja
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(Polarization)
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| Fund: Supported by the National Natural Science Foundation of China under Grant Nos 61377070, 61090391 and 61675196, and the National High-Technology Research and Development Program of China under Grant No 2013AA014203. |
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