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Maximum likelihood sequence detection in laser phase noise-impaired coherent optical systems.
Xuguang Shao1, Pooi-Yuen Kam, Changyuan Yu
1Department of Electrical and Computer Engineering, National University of Singapore, S117576, Singapore.
Optics Express
|November 24, 2011
Summary
A novel Maximum Likelihood Sequence Detection (MLSD) receiver improves optical system performance by mitigating laser phase noise without explicit phase estimation. This method enhances optical signal-to-noise ratio penalty and laser linewidth tolerance.
Area of Science:
- Optical communications
- Signal processing
- Photonics
Background:
- Laser phase noise (LPN) significantly degrades performance in coherent optical systems.
- Existing methods like DAML and Mth power approaches have limitations in mitigating LPN.
- Accurate phase estimation is often complex and computationally intensive.
Purpose of the Study:
- To introduce and evaluate a Maximum Likelihood Sequence Detection (MLSD) receiver for coherent optical systems.
- To demonstrate the effectiveness of MLSD in overcoming laser phase noise impairments.
- To compare MLSD performance against established methods like DAML and Mth power approaches.
Main Methods:
- Utilizing a Maximum Likelihood Sequence Detection (MLSD) receiver architecture.
- Implementing MLSD with linear operations and no explicit phase estimation.
- Evaluating performance based on Optical Signal-to-Noise Ratio (OSNR) penalty and laser linewidth tolerance.
Main Results:
- MLSD consistently reduces the OSNR penalty, showing a 1.1 dB improvement at a Bit Error Rate (BER) of 10⁻⁴ with a memory length L=3.
- MLSD offers significantly improved laser linewidth tolerance, approximately four times better than DAML at a 1dB OSNR penalty and BER of 10⁻⁴ (L=3).
- The receiver demonstrates robust performance in LPN-impaired systems.
Conclusions:
- MLSD provides a superior solution for mitigating laser phase noise in coherent optical systems.
- The proposed receiver offers enhanced OSNR penalty and linewidth tolerance compared to existing techniques.
- MLSD's reliance on linear operations and lack of explicit phase estimation simplifies implementation while improving performance.

