A Study on Sampling Penalties Reduction of Kramers-Kronig Receivers
Kramers-Kronig (KK) relation-based receiver can recover the field using a single-photodiode. However, the KK receiver requires a high carrier-to-signal power ratio (CSPR), and digital signal processing performed a few times faster than the Nyquist sampling rate. We propose a method to relax the requ...
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| Veröffentlicht in: | Journal of lightwave technology 2021-10, Vol.39 (19), p.6054-6062 |
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| creator | Toba, Kentaro Fujita, Takaha Tsukui, Enzo Sampath, Kariyawasam Indipalage Amila Maeda, Joji |
| description | Kramers-Kronig (KK) relation-based receiver can recover the field using a single-photodiode. However, the KK receiver requires a high carrier-to-signal power ratio (CSPR), and digital signal processing performed a few times faster than the Nyquist sampling rate. We propose a method to relax the requirements for sampling rate and CSPR by using digital upsampling with harmonic filtering. In the proposed method, log calculation of the KK algorithm is preceded by digital upsampling and followed by harmonics elimination and downsampling, respectively. Our results predict that the combination of digital upsampling and harmonic elimination can comply with the requirement of 2 nd generation FEC limit in 16-QAM 40-km transmission with the following signal parameters, CSPR 6.7 dB, ADC sampling rate 2.5 sps, digital upsampling 3 sps. We propose performing harmonic elimination in combination with Hilbert transform using a single finite impulse response (FIR) filter to increase computation efficiency. Compared with the frequency-domain implementation, similar performances were observed for FIR filters of length 33 or higher. |
| doi_str_mv | 10.1109/JLT.2021.3099938 |
| format | Article |
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However, the KK receiver requires a high carrier-to-signal power ratio (CSPR), and digital signal processing performed a few times faster than the Nyquist sampling rate. We propose a method to relax the requirements for sampling rate and CSPR by using digital upsampling with harmonic filtering. In the proposed method, log calculation of the KK algorithm is preceded by digital upsampling and followed by harmonics elimination and downsampling, respectively. Our results predict that the combination of digital upsampling and harmonic elimination can comply with the requirement of 2 nd generation FEC limit in 16-QAM 40-km transmission with the following signal parameters, CSPR 6.7 dB, ADC sampling rate 2.5 sps, digital upsampling 3 sps. We propose performing harmonic elimination in combination with Hilbert transform using a single finite impulse response (FIR) filter to increase computation efficiency. 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However, the KK receiver requires a high carrier-to-signal power ratio (CSPR), and digital signal processing performed a few times faster than the Nyquist sampling rate. We propose a method to relax the requirements for sampling rate and CSPR by using digital upsampling with harmonic filtering. In the proposed method, log calculation of the KK algorithm is preceded by digital upsampling and followed by harmonics elimination and downsampling, respectively. Our results predict that the combination of digital upsampling and harmonic elimination can comply with the requirement of 2 nd generation FEC limit in 16-QAM 40-km transmission with the following signal parameters, CSPR 6.7 dB, ADC sampling rate 2.5 sps, digital upsampling 3 sps. We propose performing harmonic elimination in combination with Hilbert transform using a single finite impulse response (FIR) filter to increase computation efficiency. Compared with the frequency-domain implementation, similar performances were observed for FIR filters of length 33 or higher.</description><subject>Algorithms</subject><subject>Digital signal processing</subject><subject>Digital upsampling</subject><subject>direct detection</subject><subject>FIR filters</subject><subject>Harmonic analysis</subject><subject>Harmonics</subject><subject>Hilbert transformation</subject><subject>kramers-kronig relation</subject><subject>optical fiber communications</subject><subject>Optical fiber dispersion</subject><subject>Optical fibers</subject><subject>Optical filters</subject><subject>Optical polarization</subject><subject>Optical receivers</subject><subject>Photodiodes</subject><subject>Power harmonic filters</subject><subject>Sampling</subject><issn>0733-8724</issn><issn>1558-2213</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNo9kMtrAjEQxkNpofZxL_Sy0PPaTCZxM0eRPhVaqj2HbDYrK7prk7Xgf9-I0tPA9xg-fozdAR8CcHp8ny2GggsYIici1GdsAErpXAjAczbgBWKuCyEv2VWMK85BSl0M2GSczftdtc-6NpvbzXbdtMvs07d23Tc-Zl--2rm-SWZXZ9NgNz7EfBq6tlkmz_nmNwk37KK26-hvT_eafT8_LSav-ezj5W0ynuUOEft8JAWUDklXJVVIllxFRYUVCQ0KJFeAQnNPUJYotXel8whkRwiWZA0Kr9nD8e82dD87H3uz6nYhTY1GqKJQSnHgKcWPKRe6GIOvzTY0Gxv2Brg5oDIJlTmgMidUqXJ_rDTe-_84SRqlWfgHVdNjHQ</recordid><startdate>20211001</startdate><enddate>20211001</enddate><creator>Toba, Kentaro</creator><creator>Fujita, Takaha</creator><creator>Tsukui, Enzo</creator><creator>Sampath, Kariyawasam Indipalage Amila</creator><creator>Maeda, Joji</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. 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However, the KK receiver requires a high carrier-to-signal power ratio (CSPR), and digital signal processing performed a few times faster than the Nyquist sampling rate. We propose a method to relax the requirements for sampling rate and CSPR by using digital upsampling with harmonic filtering. In the proposed method, log calculation of the KK algorithm is preceded by digital upsampling and followed by harmonics elimination and downsampling, respectively. Our results predict that the combination of digital upsampling and harmonic elimination can comply with the requirement of 2 nd generation FEC limit in 16-QAM 40-km transmission with the following signal parameters, CSPR 6.7 dB, ADC sampling rate 2.5 sps, digital upsampling 3 sps. We propose performing harmonic elimination in combination with Hilbert transform using a single finite impulse response (FIR) filter to increase computation efficiency. 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| source | IEEE Electronic Library (IEL) |
| subjects | Algorithms Digital signal processing Digital upsampling direct detection FIR filters Harmonic analysis Harmonics Hilbert transformation kramers-kronig relation optical fiber communications Optical fiber dispersion Optical fibers Optical filters Optical polarization Optical receivers Photodiodes Power harmonic filters Sampling |
| title | A Study on Sampling Penalties Reduction of Kramers-Kronig Receivers |
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