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Title: Theoretical and numerical analyses for PDM-IM signals using Stokes vector receivers
Authors: Huo, J 
Zhou, X 
Shang, C
Huangfu, W
Yuan, J 
Ning, H
Long, K
Yu, C 
Lau, APT 
Lu, C 
Issue Date: Oct-2020
Source: Science China. Information sciences, Oct. 2020, v. 63, no. 10, 202307
Abstract: Different from current coherent-detection-based long-haul transmission systems, inter- and intradatacenter transmissions require a simpler transmitter and receiver. A promising way to significantly meet the demands of datacenter transmission is polarization division multiplexing intensity modulation with direct detection (PDM-IM-DD) using a Stokes vector receiver (SVR). However, for different SVR architectures, the corresponding demultiplexing matrix is required to recover the Stokes vectors from the detected signals, which are combined with an arbitrary state of polarization (SOP), will change the effect of noise dynamically and significantly influence the system performance. In this study, PDM-IM signals using four SVRs, i.e., a 90° optical hybrid with 2 balanced photodetectors (BPDs) and 2 photodetectors (PDs), a 90° optical hybrid with 4 PDs, a Stokes analyzer and a 3 × 3 coupler with 4 PDs, are studied theoretically and numerically. Theoretical system models using the four SVRs are developed, and the noise power variations are analyzed quantitatively based on these models. Moreover, the performance of the systems is also investigated for 224 Gbit/s polarization division multiplexing pulse amplitude modulation 4 level with direct detection (PDM-PAM4-DD) transmission in a simulation. The simulation results show that the bit error rate (BER) performance of the systems is consistent with the theoretical noise power variation curves. The theoretical analysis scheme is helpful for the practical design of SVR-based systems.
Keywords: Direct detection
PAM4
Polarization division multiplexing
Short-reach optical communications
Stokes vector
Publisher: Science China Press, co-published with Springer
Journal: Science China. Information sciences 
ISSN: 1674-733X
EISSN: 1869-1919
DOI: 10.1007/s11432-019-2870-8
Rights: © Science China Press and Springer-Verlag GmbH Germany, part of Springer Nature 2020
This version of the article has been accepted for publication, after peer review (when applicable) and is subject to Springer Nature’s AM terms of use(https://www.springernature.com/gp/open-research/policies/accepted-manuscript-terms), but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record is available online at: http://dx.doi.org/10.1007/s11432-019-2870-8.
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