Digital subcarrier multiplexing-enabled carrier-free phase-retrieval receiver

Yunhe Ma; Meng Xiang; Wenzhuo Cheng; Ruitao Wu; Peijian Zhou; Gai Zhou; Jilong Li; Jianping Li; Songnian Fu; Yuwen Qin

doi:10.1117/1.APN.2.4.046004

Advanced Photonics Nexus, Volume. 2, Issue 4, 046004(2023)

Digital subcarrier multiplexing-enabled carrier-free phase-retrieval receiver

Yunhe Ma, Meng Xiang^*, Wenzhuo Cheng, Ruitao Wu, Peijian Zhou, Gai Zhou, Jilong Li, Jianping Li, Songnian Fu, and Yuwen Qin

Author Affiliations

Guangdong University of Technology, Department of Information Engineering, Guangdong Provincial Key Laboratory of Photonics Information Technology, Guangzhou, China

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Figures & Tables(14)

Fig. 1. Generation of DSM signals at Tx.

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Fig. 2. Simulation setup and corresponding DSP stack.

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Fig. 3. Simulated BER with respect to the dispersion of dispersion element used when the modulation format is (a) QPSK, (b) 16QAM, and (c) 32QAM.

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Fig. 4. Simulated BER with respect to the OSNR of received signals when the modulation format is (a) QPSK; (b) 16QAM; (c) 32QAM.

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Fig. 5. Simulated BER as a function of iteration when the modulation format is (a) QPSK; (b) 16QAM; (c) 32QAM.

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Fig. 6. Simulated tolerance toward the laser linewidth when the modulation format is (a) QPSK; (b) 16QAM; (c) 32QAM.

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Fig. 7. Simulated tolerance toward the wavelength drift when the modulation format is (a) QPSK; (b) 16QAM; (c) 32QAM.

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Fig. 8. Simulated tolerance toward the receiver skew when the modulation format is (a) QPSK; (b) 16QAM; (c) 32QAM.

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Fig. 9. Simulated tolerance toward the amplitude imbalance when the modulation format is (a) QPSK; (b) 16QAM; (c) 32QAM.

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Fig. 10. Implementation complexity comparison, in terms of (a) number of adders and (b) number of multiplications.

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Fig. 11. Experimental setup of 25 GBaud 16QAM fiber optical transmission.

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Fig. 12. Achieved BER as a function of (a) number of iterations and (b) OSNR.

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Fig. 13. Achieved BER as a function of (a) laser linewidth, and (b) receiver skew.

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Table 1. PR_AIT algorithm for DSM signals.

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Table 1. PR_AIT algorithm for DSM signals.


Function $a (t), b (t), R, V, h_{CD}, h_{D}, I_{\max}$
1. $∠ \hat{s} (t) = ∠ rand (t)$ ⋄ Initialize phase
2. For $i$ from 1 to $I_{\max}$
3. $a (t) \leftarrow a (t)^{P}$ , $b (t) \leftarrow b (t)^{P}$ ; where $P = (R - 1) \cdot \exp (- i / V) + 1$ ⋄ AIT
4. $\hat{s} (t) = a (t) \exp (j ∠ \hat{s} (t))$ ⋄ Reconstruct the field
5. ${\hat{s}} (t) \leftarrow h_{CD}^{- 1} (t) \otimes {\hat{s}} (t)$ ⋄ Propagate back to Tx
6. ${\hat{s}}_{k} (t) \leftarrow \hat{s} (t)$ ⋄ Subcarrier demultiplexing
7. ${\hat{s}}_{k} (t) \leftarrow h_{RRC} (t) \otimes {\hat{s}}_{k} (t)$ ⋄ RRC shaping
8. ${\hat{s}}_{k} (t^{'}) \leftarrow {\hat{s}}_{k} (t)$ ⋄ Downsample to one Sps
9. ${\hat{s}}_{k} (t_{p}^{'}) \leftarrow \| s_{p} (t_{p}^{'}) \| \exp [j ∠ s_{p} (t_{p}^{'})]$ ⋄ Pilot constraint
10. ${\hat{s}}_{k} (t) \leftarrow {\hat{s}}_{k} (t^{'})$ ⋄ Upsample to two Sps
11. ${\hat{s}}_{k} (t) \leftarrow h_{RRC} (t) \otimes {\hat{s}}_{k} (t)$ ⋄ RRC shaping
12. $\hat{s} (t) \leftarrow {\hat{s}}_{k} (t)$ ⋄ Subcarrier multiplexing
13. $\hat{s} (t) \leftarrow h_{CD} (t) \otimes h_{D} (t) \otimes \hat{s} (t)$ ⋄ To projection plane
14. $\hat{s} (t) \leftarrow b (t) \exp [j ∠ \hat{s} (t)]$ ⋄ Intensity update
15. ${\hat{s}} (t) \leftarrow h_{D}^{- 1} (t) \otimes {\hat{s}} (t)$ ⋄ Propagate back to Rx
16. Returns $\exp [j ∠ \hat{s} (t)]$

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Yunhe Ma, Meng Xiang, Wenzhuo Cheng, Ruitao Wu, Peijian Zhou, Gai Zhou, Jilong Li, Jianping Li, Songnian Fu, Yuwen Qin, "Digital subcarrier multiplexing-enabled carrier-free phase-retrieval receiver," Adv. Photon. Nexus 2, 046004 (2023)

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Paper Information

Category: Research Articles

Received: Jan. 13, 2023

Accepted: May. 16, 2023

Published Online: Jul. 24, 2023

The Author Email: Meng Xiang (meng.xiang@gdut.edu.cn)

DOI:10.1117/1.APN.2.4.046004

Topics

laser devices and laser physics

Lasers and Laser Optics

Laser physics

laser manufacturing

Instrumentation, Measurement and Metrology