SSBI counteraction technology in a single photodetector-based direct detection system receiving an independent dual-single sideband signal
To further meet the large capacity, high spectrum efficiency (SE), reduce the signal-signal beat interference (SSBI) of the independent dual single sideband (ISB) system and the complexity of the receiver, we propose an iterative signal-signal beat interference counteraction (ISSBIC) algorithm to suppress SSBI. The 16-Gbps left sideband and the 16-Gbps right sideband signals in the ISB system are quadrature phase-shift keying (QPSK) modulated. After standard single-mode fiber (SSMF) transmission, the LSB and RSB signals are synthesized to a 16-quadrature amplitude modulation (QAM) signal after conversion through the photodetector (PD) square law. The simulation results show that the ISSBIC with just 2 iterations is superior to Kramers-Kronig (KK) receiver in processing the system error bit. In the meantime, the ISSBIC requires a sampling rate of 20GSa/s, whereas KK requires 40GSa/s. Moreover, the proposed ISSBIC algorithm has a simpler complexity. According to the simulation results, the suggested ISSBIC receiver can lower the ADC requirements and system costs, which opens up a wide range of applications in multiplex and higher SE transmission systems.
Authors
- Y.K. Chen (ORCID: https://orcid.org/0000-0002-5695-7093)
- Jiangnan Xiao (ORCID: https://orcid.org/0000-0002-2923-4287)
- Hongdong Zhu (ORCID: https://orcid.org/0000-0003-4480-3465)
- Jiabao Zhao (ORCID: https://orcid.org/0000-0002-0691-5741)
- Hu Zheng (ORCID: https://orcid.org/0000-0001-6055-7239)
- Feihan Li (ORCID: https://orcid.org/0000-0003-1770-4664)
Publication Details
- Journal
- Optics Express
- Published
- 2024-10-17
- DOI
- https://doi.org/10.1364/oe.538293
- Primary Topic
- Photonic and Optical Devices
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China
- National Key Research and Development Program of China
- Key Laboratory of Electromagnetic Wave Information Science