Abstract
In coherent optical phase-shift-keying (PSK) system, the conventional decision-aided maximum likelihood (DA-ML) phase estimator only considers constant phase noise over the entire observation interval. In this paper, we take into account the time-varying phase noise and propose a flexible DA-ML phase estimator for carrier phase estimation. The weighted coefficients are introduced to estimate carrier phase more accurately than the conventional scheme. The phase estimation error of this flexible DA-ML receiver is analyzed and compared with results from the conventional DA-ML receiver. The analytical bit error rate (BER) follows well with Monte Carlo (MC) simulations. Simulation results also show that by using the flexible DA-ML receiver in quadrature PSK (QPSK) system, bit signal-to-noise ratio (SNR) improvement over the conventional DA-ML receiver at BER of 10-3is 0.2dB and 1.2dB with block length of 20 and 50, respectively, when the laser linewidth is 2MHz.
| Original language | English |
|---|---|
| Title of host publication | 2015 International Conference on Optical Instruments and Technology |
| Subtitle of host publication | Optoelectronic Devices and Optical Signal Processing, OIT 2015 |
| Publisher | SPIE |
| Volume | 9619 |
| ISBN (Electronic) | 9781628418002 |
| DOIs | |
| Publication status | Published - 1 Jan 2015 |
| Externally published | Yes |
| Event | 2015 International Conference on Optical Instruments and Technology: Optoelectronic Devices and Optical Signal Processing, OIT 2015 - Beijing, China Duration: 17 May 2015 → 19 May 2015 |
Conference
| Conference | 2015 International Conference on Optical Instruments and Technology: Optoelectronic Devices and Optical Signal Processing, OIT 2015 |
|---|---|
| Country/Territory | China |
| City | Beijing |
| Period | 17/05/15 → 19/05/15 |
Keywords
- Coherent optical communications
- Decision-aided
- Laser phase noise
- Maximum likelihood
- PSK
- Weighted coefficients
ASJC Scopus subject areas
- Electronic, Optical and Magnetic Materials
- Condensed Matter Physics
- Computer Science Applications
- Applied Mathematics
- Electrical and Electronic Engineering
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