Broadband Microwave Spectrum Sensing Based on Photonic RF Channelization and Compressive Sampling
A novel approach to realize broadband microwave spectrum sensing based on photonic RF channelization and compressive sampling (CS) is proposed. The photonic RF channelization system is used to slice the input broadband signal into multiple sub-channel signals with narrow bandwidth in parallel and th...
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| Format: | Article |
| Language: | English |
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IEEE
2020-01-01
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| Series: | IEEE Photonics Journal |
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| Online Access: | https://ieeexplore.ieee.org/document/8936887/ |
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| author | Bo Yang Hao Chi Shuna Yang Zizheng Cao Jun Ou Yanrong Zhai |
| author_facet | Bo Yang Hao Chi Shuna Yang Zizheng Cao Jun Ou Yanrong Zhai |
| author_sort | Bo Yang |
| collection | DOAJ |
| description | A novel approach to realize broadband microwave spectrum sensing based on photonic RF channelization and compressive sampling (CS) is proposed. The photonic RF channelization system is used to slice the input broadband signal into multiple sub-channel signals with narrow bandwidth in parallel and thus the rate of pseudo-random binary sequence (PRBS) and the bandwidth of the MZM for CS can be largely decreased. It is shown that a spectrally sparse signal within a wide bandwidth can be captured with a sampling rate far lower than the Nyquist rate thanks to both photonic RF channelization and CS. In addition, the influence of the non-ideal filtering of the photonic channelizer is evaluated and a novel approach based on measuring twice is proposed to overcome the problem of frequency aliasing induced by the non-ideal filtering. It is demonstrated that a system with 20 Gbit/s PRBS and 2.5 GS/s digitizer can be used to capture a signal with multiple tones within a 40 GHz bandwidth, which means a sampling rate 32 times lower than the Nyquist rate. |
| format | Article |
| id | doaj-art-a20d3240bc1a4ee3a0a6aabf7cd74bcd |
| institution | Kabale University |
| issn | 1943-0655 |
| language | English |
| publishDate | 2020-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Photonics Journal |
| spelling | doaj-art-a20d3240bc1a4ee3a0a6aabf7cd74bcd2025-08-20T03:33:14ZengIEEEIEEE Photonics Journal1943-06552020-01-011211910.1109/JPHOT.2019.29603778936887Broadband Microwave Spectrum Sensing Based on Photonic RF Channelization and Compressive SamplingBo Yang0https://orcid.org/0000-0001-7837-3454Hao Chi1https://orcid.org/0000-0001-5913-2794Shuna Yang2Zizheng Cao3https://orcid.org/0000-0002-4774-7545Jun Ou4Yanrong Zhai5School of Communication Engineering, Hangzhou Dianzi University, Hangzhou, ChinaSchool of Communication Engineering, Hangzhou Dianzi University, Hangzhou, ChinaSchool of Communication Engineering, Hangzhou Dianzi University, Hangzhou, ChinaCOBRA Institute, Eindhoven University of Technology, Eindhoven, The NetherlandsSchool of Communication Engineering, Hangzhou Dianzi University, Hangzhou, ChinaSchool of Communication Engineering, Hangzhou Dianzi University, Hangzhou, ChinaA novel approach to realize broadband microwave spectrum sensing based on photonic RF channelization and compressive sampling (CS) is proposed. The photonic RF channelization system is used to slice the input broadband signal into multiple sub-channel signals with narrow bandwidth in parallel and thus the rate of pseudo-random binary sequence (PRBS) and the bandwidth of the MZM for CS can be largely decreased. It is shown that a spectrally sparse signal within a wide bandwidth can be captured with a sampling rate far lower than the Nyquist rate thanks to both photonic RF channelization and CS. In addition, the influence of the non-ideal filtering of the photonic channelizer is evaluated and a novel approach based on measuring twice is proposed to overcome the problem of frequency aliasing induced by the non-ideal filtering. It is demonstrated that a system with 20 Gbit/s PRBS and 2.5 GS/s digitizer can be used to capture a signal with multiple tones within a 40 GHz bandwidth, which means a sampling rate 32 times lower than the Nyquist rate.https://ieeexplore.ieee.org/document/8936887/Photonic RF channelizationcompressive samplingmicrowave photonics. |
| spellingShingle | Bo Yang Hao Chi Shuna Yang Zizheng Cao Jun Ou Yanrong Zhai Broadband Microwave Spectrum Sensing Based on Photonic RF Channelization and Compressive Sampling IEEE Photonics Journal Photonic RF channelization compressive sampling microwave photonics. |
| title | Broadband Microwave Spectrum Sensing Based on Photonic RF Channelization and Compressive Sampling |
| title_full | Broadband Microwave Spectrum Sensing Based on Photonic RF Channelization and Compressive Sampling |
| title_fullStr | Broadband Microwave Spectrum Sensing Based on Photonic RF Channelization and Compressive Sampling |
| title_full_unstemmed | Broadband Microwave Spectrum Sensing Based on Photonic RF Channelization and Compressive Sampling |
| title_short | Broadband Microwave Spectrum Sensing Based on Photonic RF Channelization and Compressive Sampling |
| title_sort | broadband microwave spectrum sensing based on photonic rf channelization and compressive sampling |
| topic | Photonic RF channelization compressive sampling microwave photonics. |
| url | https://ieeexplore.ieee.org/document/8936887/ |
| work_keys_str_mv | AT boyang broadbandmicrowavespectrumsensingbasedonphotonicrfchannelizationandcompressivesampling AT haochi broadbandmicrowavespectrumsensingbasedonphotonicrfchannelizationandcompressivesampling AT shunayang broadbandmicrowavespectrumsensingbasedonphotonicrfchannelizationandcompressivesampling AT zizhengcao broadbandmicrowavespectrumsensingbasedonphotonicrfchannelizationandcompressivesampling AT junou broadbandmicrowavespectrumsensingbasedonphotonicrfchannelizationandcompressivesampling AT yanrongzhai broadbandmicrowavespectrumsensingbasedonphotonicrfchannelizationandcompressivesampling |