Widely Linear Filtering for Multiimpairment Compensation in Dispersion Managed mQAM Modulated Optical Systems

We propose a blind joint equalization algorithm for M-QAM signals based on a widely linear filtering approach. The proposed scheme jointly compensates for receiver IQ imbalance, receiver IQ skew, polarization mixing, carrier recovery, followed by transmitter IQ imbalance and skew. We first investiga...
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Autor*in:	Rekha Yadav [verfasserIn] Lakshmi Narayanan Venkatasubramani [verfasserIn] R. David Koilpillai [verfasserIn] Deepa Venkitesh [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2022

Schlagwörter:	Augmented signal processing IQ imbalance joint equalization modified widely linear CMA filter polarization multiplexing widely linear processing

Übergeordnetes Werk:	In: IEEE Access - IEEE, 2014, 10(2022), Seite 73278-73293
Übergeordnetes Werk:	volume:10 ; year:2022 ; pages:73278-73293

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.1109/ACCESS.2022.3188633

Katalog-ID:	DOAJ039292037

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520			\|a We propose a blind joint equalization algorithm for M-QAM signals based on a widely linear filtering approach. The proposed scheme jointly compensates for receiver IQ imbalance, receiver IQ skew, polarization mixing, carrier recovery, followed by transmitter IQ imbalance and skew. We first investigate the proposed scheme’s tolerance to each of these impairments through numerical simulations for 32 GBd PM-16QAM and PM-64QAM signals and compare its performance with the conventional digital processing algorithms with and without IQ imbalance compensation. The proposed joint transceiver equalizer outperforms the conventional algorithms with a <inline-formula< <tex-math notation="LaTeX"<$Q^{2}$ </tex-math<</inline-formula< improvement of greater than 1 dB, and with improved tolerance to IQ imbalance. Further, with the proposed algorithm, we experimentally demonstrate the improvement in <inline-formula< <tex-math notation="LaTeX"<$Q^{2}$ </tex-math<</inline-formula< value with respect to conventional DSP for both PM-16QAM and PM-64QAM signals. We also show that the MSE convergence of the proposed joint equalizer is much faster than conventional DSP algorithms.
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spelling	10.1109/ACCESS.2022.3188633 doi (DE-627)DOAJ039292037 (DE-599)DOAJ35411b6130bd4225bf126c9f4626f997 DE-627 ger DE-627 rakwb eng TK1-9971 Rekha Yadav verfasserin aut Widely Linear Filtering for Multiimpairment Compensation in Dispersion Managed mQAM Modulated Optical Systems 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier We propose a blind joint equalization algorithm for M-QAM signals based on a widely linear filtering approach. The proposed scheme jointly compensates for receiver IQ imbalance, receiver IQ skew, polarization mixing, carrier recovery, followed by transmitter IQ imbalance and skew. We first investigate the proposed scheme’s tolerance to each of these impairments through numerical simulations for 32 GBd PM-16QAM and PM-64QAM signals and compare its performance with the conventional digital processing algorithms with and without IQ imbalance compensation. The proposed joint transceiver equalizer outperforms the conventional algorithms with a <inline-formula< <tex-math notation="LaTeX"<$Q^{2}$ </tex-math<</inline-formula< improvement of greater than 1 dB, and with improved tolerance to IQ imbalance. Further, with the proposed algorithm, we experimentally demonstrate the improvement in <inline-formula< <tex-math notation="LaTeX"<$Q^{2}$ </tex-math<</inline-formula< value with respect to conventional DSP for both PM-16QAM and PM-64QAM signals. We also show that the MSE convergence of the proposed joint equalizer is much faster than conventional DSP algorithms. Augmented signal processing IQ imbalance joint equalization modified widely linear CMA filter polarization multiplexing widely linear processing Electrical engineering. Electronics. Nuclear engineering Lakshmi Narayanan Venkatasubramani verfasserin aut R. David Koilpillai verfasserin aut Deepa Venkitesh verfasserin aut In IEEE Access IEEE, 2014 10(2022), Seite 73278-73293 (DE-627)728440385 (DE-600)2687964-5 21693536 nnns volume:10 year:2022 pages:73278-73293 https://doi.org/10.1109/ACCESS.2022.3188633 kostenfrei https://doaj.org/article/35411b6130bd4225bf126c9f4626f997 kostenfrei https://ieeexplore.ieee.org/document/9815234/ kostenfrei https://doaj.org/toc/2169-3536 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 10 2022 73278-73293
allfields_unstemmed	10.1109/ACCESS.2022.3188633 doi (DE-627)DOAJ039292037 (DE-599)DOAJ35411b6130bd4225bf126c9f4626f997 DE-627 ger DE-627 rakwb eng TK1-9971 Rekha Yadav verfasserin aut Widely Linear Filtering for Multiimpairment Compensation in Dispersion Managed mQAM Modulated Optical Systems 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier We propose a blind joint equalization algorithm for M-QAM signals based on a widely linear filtering approach. The proposed scheme jointly compensates for receiver IQ imbalance, receiver IQ skew, polarization mixing, carrier recovery, followed by transmitter IQ imbalance and skew. We first investigate the proposed scheme’s tolerance to each of these impairments through numerical simulations for 32 GBd PM-16QAM and PM-64QAM signals and compare its performance with the conventional digital processing algorithms with and without IQ imbalance compensation. The proposed joint transceiver equalizer outperforms the conventional algorithms with a <inline-formula< <tex-math notation="LaTeX"<$Q^{2}$ </tex-math<</inline-formula< improvement of greater than 1 dB, and with improved tolerance to IQ imbalance. Further, with the proposed algorithm, we experimentally demonstrate the improvement in <inline-formula< <tex-math notation="LaTeX"<$Q^{2}$ </tex-math<</inline-formula< value with respect to conventional DSP for both PM-16QAM and PM-64QAM signals. We also show that the MSE convergence of the proposed joint equalizer is much faster than conventional DSP algorithms. Augmented signal processing IQ imbalance joint equalization modified widely linear CMA filter polarization multiplexing widely linear processing Electrical engineering. Electronics. Nuclear engineering Lakshmi Narayanan Venkatasubramani verfasserin aut R. David Koilpillai verfasserin aut Deepa Venkitesh verfasserin aut In IEEE Access IEEE, 2014 10(2022), Seite 73278-73293 (DE-627)728440385 (DE-600)2687964-5 21693536 nnns volume:10 year:2022 pages:73278-73293 https://doi.org/10.1109/ACCESS.2022.3188633 kostenfrei https://doaj.org/article/35411b6130bd4225bf126c9f4626f997 kostenfrei https://ieeexplore.ieee.org/document/9815234/ kostenfrei https://doaj.org/toc/2169-3536 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 10 2022 73278-73293
allfieldsGer	10.1109/ACCESS.2022.3188633 doi (DE-627)DOAJ039292037 (DE-599)DOAJ35411b6130bd4225bf126c9f4626f997 DE-627 ger DE-627 rakwb eng TK1-9971 Rekha Yadav verfasserin aut Widely Linear Filtering for Multiimpairment Compensation in Dispersion Managed mQAM Modulated Optical Systems 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier We propose a blind joint equalization algorithm for M-QAM signals based on a widely linear filtering approach. The proposed scheme jointly compensates for receiver IQ imbalance, receiver IQ skew, polarization mixing, carrier recovery, followed by transmitter IQ imbalance and skew. We first investigate the proposed scheme’s tolerance to each of these impairments through numerical simulations for 32 GBd PM-16QAM and PM-64QAM signals and compare its performance with the conventional digital processing algorithms with and without IQ imbalance compensation. The proposed joint transceiver equalizer outperforms the conventional algorithms with a <inline-formula< <tex-math notation="LaTeX"<$Q^{2}$ </tex-math<</inline-formula< improvement of greater than 1 dB, and with improved tolerance to IQ imbalance. Further, with the proposed algorithm, we experimentally demonstrate the improvement in <inline-formula< <tex-math notation="LaTeX"<$Q^{2}$ </tex-math<</inline-formula< value with respect to conventional DSP for both PM-16QAM and PM-64QAM signals. We also show that the MSE convergence of the proposed joint equalizer is much faster than conventional DSP algorithms. Augmented signal processing IQ imbalance joint equalization modified widely linear CMA filter polarization multiplexing widely linear processing Electrical engineering. Electronics. Nuclear engineering Lakshmi Narayanan Venkatasubramani verfasserin aut R. David Koilpillai verfasserin aut Deepa Venkitesh verfasserin aut In IEEE Access IEEE, 2014 10(2022), Seite 73278-73293 (DE-627)728440385 (DE-600)2687964-5 21693536 nnns volume:10 year:2022 pages:73278-73293 https://doi.org/10.1109/ACCESS.2022.3188633 kostenfrei https://doaj.org/article/35411b6130bd4225bf126c9f4626f997 kostenfrei https://ieeexplore.ieee.org/document/9815234/ kostenfrei https://doaj.org/toc/2169-3536 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 10 2022 73278-73293
allfieldsSound	10.1109/ACCESS.2022.3188633 doi (DE-627)DOAJ039292037 (DE-599)DOAJ35411b6130bd4225bf126c9f4626f997 DE-627 ger DE-627 rakwb eng TK1-9971 Rekha Yadav verfasserin aut Widely Linear Filtering for Multiimpairment Compensation in Dispersion Managed mQAM Modulated Optical Systems 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier We propose a blind joint equalization algorithm for M-QAM signals based on a widely linear filtering approach. The proposed scheme jointly compensates for receiver IQ imbalance, receiver IQ skew, polarization mixing, carrier recovery, followed by transmitter IQ imbalance and skew. We first investigate the proposed scheme’s tolerance to each of these impairments through numerical simulations for 32 GBd PM-16QAM and PM-64QAM signals and compare its performance with the conventional digital processing algorithms with and without IQ imbalance compensation. The proposed joint transceiver equalizer outperforms the conventional algorithms with a <inline-formula< <tex-math notation="LaTeX"<$Q^{2}$ </tex-math<</inline-formula< improvement of greater than 1 dB, and with improved tolerance to IQ imbalance. Further, with the proposed algorithm, we experimentally demonstrate the improvement in <inline-formula< <tex-math notation="LaTeX"<$Q^{2}$ </tex-math<</inline-formula< value with respect to conventional DSP for both PM-16QAM and PM-64QAM signals. We also show that the MSE convergence of the proposed joint equalizer is much faster than conventional DSP algorithms. Augmented signal processing IQ imbalance joint equalization modified widely linear CMA filter polarization multiplexing widely linear processing Electrical engineering. Electronics. Nuclear engineering Lakshmi Narayanan Venkatasubramani verfasserin aut R. David Koilpillai verfasserin aut Deepa Venkitesh verfasserin aut In IEEE Access IEEE, 2014 10(2022), Seite 73278-73293 (DE-627)728440385 (DE-600)2687964-5 21693536 nnns volume:10 year:2022 pages:73278-73293 https://doi.org/10.1109/ACCESS.2022.3188633 kostenfrei https://doaj.org/article/35411b6130bd4225bf126c9f4626f997 kostenfrei https://ieeexplore.ieee.org/document/9815234/ kostenfrei https://doaj.org/toc/2169-3536 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 10 2022 73278-73293
language	English
source	In IEEE Access 10(2022), Seite 73278-73293 volume:10 year:2022 pages:73278-73293
sourceStr	In IEEE Access 10(2022), Seite 73278-73293 volume:10 year:2022 pages:73278-73293
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	Augmented signal processing IQ imbalance joint equalization modified widely linear CMA filter polarization multiplexing widely linear processing Electrical engineering. Electronics. Nuclear engineering
isfreeaccess_bool	true
container_title	IEEE Access
authorswithroles_txt_mv	Rekha Yadav @@aut@@ Lakshmi Narayanan Venkatasubramani @@aut@@ R. David Koilpillai @@aut@@ Deepa Venkitesh @@aut@@
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callnumber-first	T - Technology
author	Rekha Yadav
spellingShingle	Rekha Yadav misc TK1-9971 misc Augmented signal processing misc IQ imbalance misc joint equalization misc modified widely linear CMA filter misc polarization multiplexing misc widely linear processing misc Electrical engineering. Electronics. Nuclear engineering Widely Linear Filtering for Multiimpairment Compensation in Dispersion Managed mQAM Modulated Optical Systems
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topic_title	TK1-9971 Widely Linear Filtering for Multiimpairment Compensation in Dispersion Managed mQAM Modulated Optical Systems Augmented signal processing IQ imbalance joint equalization modified widely linear CMA filter polarization multiplexing widely linear processing
topic	misc TK1-9971 misc Augmented signal processing misc IQ imbalance misc joint equalization misc modified widely linear CMA filter misc polarization multiplexing misc widely linear processing misc Electrical engineering. Electronics. Nuclear engineering
topic_unstemmed	misc TK1-9971 misc Augmented signal processing misc IQ imbalance misc joint equalization misc modified widely linear CMA filter misc polarization multiplexing misc widely linear processing misc Electrical engineering. Electronics. Nuclear engineering
topic_browse	misc TK1-9971 misc Augmented signal processing misc IQ imbalance misc joint equalization misc modified widely linear CMA filter misc polarization multiplexing misc widely linear processing misc Electrical engineering. Electronics. Nuclear engineering
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title	Widely Linear Filtering for Multiimpairment Compensation in Dispersion Managed mQAM Modulated Optical Systems
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title_full	Widely Linear Filtering for Multiimpairment Compensation in Dispersion Managed mQAM Modulated Optical Systems
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title_sort	widely linear filtering for multiimpairment compensation in dispersion managed mqam modulated optical systems
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title_auth	Widely Linear Filtering for Multiimpairment Compensation in Dispersion Managed mQAM Modulated Optical Systems
abstract	We propose a blind joint equalization algorithm for M-QAM signals based on a widely linear filtering approach. The proposed scheme jointly compensates for receiver IQ imbalance, receiver IQ skew, polarization mixing, carrier recovery, followed by transmitter IQ imbalance and skew. We first investigate the proposed scheme’s tolerance to each of these impairments through numerical simulations for 32 GBd PM-16QAM and PM-64QAM signals and compare its performance with the conventional digital processing algorithms with and without IQ imbalance compensation. The proposed joint transceiver equalizer outperforms the conventional algorithms with a <inline-formula< <tex-math notation="LaTeX"<$Q^{2}$ </tex-math<</inline-formula< improvement of greater than 1 dB, and with improved tolerance to IQ imbalance. Further, with the proposed algorithm, we experimentally demonstrate the improvement in <inline-formula< <tex-math notation="LaTeX"<$Q^{2}$ </tex-math<</inline-formula< value with respect to conventional DSP for both PM-16QAM and PM-64QAM signals. We also show that the MSE convergence of the proposed joint equalizer is much faster than conventional DSP algorithms.
abstractGer	We propose a blind joint equalization algorithm for M-QAM signals based on a widely linear filtering approach. The proposed scheme jointly compensates for receiver IQ imbalance, receiver IQ skew, polarization mixing, carrier recovery, followed by transmitter IQ imbalance and skew. We first investigate the proposed scheme’s tolerance to each of these impairments through numerical simulations for 32 GBd PM-16QAM and PM-64QAM signals and compare its performance with the conventional digital processing algorithms with and without IQ imbalance compensation. The proposed joint transceiver equalizer outperforms the conventional algorithms with a <inline-formula< <tex-math notation="LaTeX"<$Q^{2}$ </tex-math<</inline-formula< improvement of greater than 1 dB, and with improved tolerance to IQ imbalance. Further, with the proposed algorithm, we experimentally demonstrate the improvement in <inline-formula< <tex-math notation="LaTeX"<$Q^{2}$ </tex-math<</inline-formula< value with respect to conventional DSP for both PM-16QAM and PM-64QAM signals. We also show that the MSE convergence of the proposed joint equalizer is much faster than conventional DSP algorithms.
abstract_unstemmed	We propose a blind joint equalization algorithm for M-QAM signals based on a widely linear filtering approach. The proposed scheme jointly compensates for receiver IQ imbalance, receiver IQ skew, polarization mixing, carrier recovery, followed by transmitter IQ imbalance and skew. We first investigate the proposed scheme’s tolerance to each of these impairments through numerical simulations for 32 GBd PM-16QAM and PM-64QAM signals and compare its performance with the conventional digital processing algorithms with and without IQ imbalance compensation. The proposed joint transceiver equalizer outperforms the conventional algorithms with a <inline-formula< <tex-math notation="LaTeX"<$Q^{2}$ </tex-math<</inline-formula< improvement of greater than 1 dB, and with improved tolerance to IQ imbalance. Further, with the proposed algorithm, we experimentally demonstrate the improvement in <inline-formula< <tex-math notation="LaTeX"<$Q^{2}$ </tex-math<</inline-formula< value with respect to conventional DSP for both PM-16QAM and PM-64QAM signals. We also show that the MSE convergence of the proposed joint equalizer is much faster than conventional DSP algorithms.
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title_short	Widely Linear Filtering for Multiimpairment Compensation in Dispersion Managed mQAM Modulated Optical Systems
url	https://doi.org/10.1109/ACCESS.2022.3188633 https://doaj.org/article/35411b6130bd4225bf126c9f4626f997 https://ieeexplore.ieee.org/document/9815234/ https://doaj.org/toc/2169-3536
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