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Blind phase search with angular quantization noise mitigation for efficient carrier phase recovery
RISE - Research Institutes of Sweden (2017-2019), ICT, Acreo. KTH Royal Institute of Technology, Sweden.ORCID-id: 0000-0001-5730-9656
RISE - Research Institutes of Sweden (2017-2019), ICT, Acreo. KTH Royal Institute of Technology, Sweden.ORCID-id: 0000-0001-8389-158X
KTH Royal Institute of Technology, Sweden.
KTH Royal Institute of Technology, Sweden.ORCID-id: 0000-0003-4906-1704
Vise andre og tillknytning
2017 (engelsk)Inngår i: Photonics, ISSN 2304-6732, Vol. 4, nr 2, artikkel-id 37Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

The inherent discrete phase search nature of the conventional blind phase search (C-BPS) algorithm is found to introduce angular quantization noise in its phase noise estimator. The angular quantization noise found in the C-BPS is shown to limit its achievable performance and its potential low complexity implementation. A novel filtered BPS algorithm (F-BPS) is proposed and demonstrated to mitigate this quantization noise by performing a low pass filter operation on the C-BPS phase noise estimator. The improved performance of the proposed F-BPS algorithm makes it possible to significantly reduce the number of necessary test phases to achieve the C-BPS performance, thereby allowing for a drastic reduction of its practical implementation complexity. The proposed F-BPS scheme performance is evaluated on a 28-Gbaud 16QAM and 64QAM both in simulations and experimentally. Results confirm a substantial improvement of the performance along with a significant reduction of its potential implementation complexity compared to that of the C-BPS.

sted, utgiver, år, opplag, sider
2017. Vol. 4, nr 2, artikkel-id 37
Emneord [en]
Blind phase search (BPS), Carrier phase estimation (CPE), Carrier phase recovery (CPR), Coherent detection, Phase noise, Quadrature amplitude modulation (mQAM)
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Identifikatorer
URN: urn:nbn:se:ri:diva-32510DOI: 10.3390/photonics4020037Scopus ID: 2-s2.0-85029468731OAI: oai:DiVA.org:ri-32510DiVA, id: diva2:1155585
Tilgjengelig fra: 2017-11-08 Laget: 2017-11-08 Sist oppdatert: 2024-03-11bibliografisk kontrollert

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Navarro, Jaime RodrigoKakkar, AdityaPang, XiaodanOzolins, OskarsUdalcovs, Aleksejs

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