Digital Adaptive Carrier Phase Estimation in Multi-level Phase Shift Keying Coherent Optical Communication Systems

Xu, Tianhua; Liu, Tiegen; Zhang, Yimo; Jacobsen, Gunnar; Li, Jie; Popov, Sergei

doi:10.1109/icisce.2016.276

Cited by 4 publications

(3 citation statements)

References 51 publications

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“…It is demonstrated that an unbiased sinusoidal phase estimator does not exist and estimators with less bias than the maximum likelihood estimator (MLE) have been derived . The analysis of adaptive phase estimation is also important because it is performed in high‐speed n‐level phase‐shift keying optical fiber communication systems using the least mean square algorithm …”

Section: Introductionmentioning

confidence: 99%

Shrinkage sinusoidal phase estimation based on spherical simplex unscented transform and bootstrap method

Park

2019

Trans Emerging Tel Tech

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This paper presents novel shrinkage‐based sinusoidal phase estimation algorithms. The main contributions of this paper are two‐fold. First, the shrinkage factor is found using the spherical simplex unscented transform (SSUT) and the combination of bootstrap and SSUT to reduce the computational complexity of the Monte Carlo method. The computational burden of the proposed methods is relatively low due to the use of SSUT, resulting from the carefully selected sigma points. Second, the accuracy of the novel shrinkage estimator is better than that of the maximum likelihood estimator (MLE) and existing shrinkage estimator under the low signal‐to‐noise ratio (SNR) and small sample number conditions. It is demonstrated that the resulting accuracies of the proposed shrinkage‐based phase estimation methods are superior to those of existing shrinkage algorithm and MLE in low SNR and small sample number conditions.

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Section: Introductionmentioning

confidence: 99%

Shrinkage sinusoidal phase estimation based on spherical simplex unscented transform and bootstrap method

Park

2019

Trans Emerging Tel Tech

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“…The effects of EEPN have been studied for single-channel, WDM, OFDM, pre-distortion of dispersion, and multi-mode fibre transmission networks [45][46][47][48][49]. Also, research has been implemented to study the performance of EEPN in the CPE in long-haul optical transmission systems [50][51][52][53][54][55][56]. Considering the impact of EEPN, traditional analyses of the CPE algorithms are not appropriate any more for the design of DSP based highcapacity communication systems.…”

Section: Introductionmentioning

confidence: 99%

Carrier phase estimation in dispersion-unmanaged optical transmission systems

Bayvel

Liu

et al. 2017

2017 IEEE 2nd Advanced Information Technology, Electronic and Automation Control Conference (IAEAC)

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Abstract-The study on carrier phase estimation (CPE) approaches, involving a one-tap normalized least-mean-square (NLMS) algorithm, a block-wise average algorithm, and a Viterbi-Viterbi algorithm has been carried out in the long-haul high-capacity dispersion-unmanaged coherent optical systems. The close-form expressions and analytical predictions for biterror-rate behaviors in these CPE methods have been analyzed by considering both the laser phase noise and the equalization enhanced phase noise. It is found that the Viterbi-Viterbi algorithm outperforms the one-tap NLMS and the block-wise average algorithms for a small phase noise variance (or effective phase noise variance), while the three CPE methods converge to a similar performance for a large phase noise variance (or effective phase noise variance). In addition, the differences between the three CPE approaches become smaller for higher-level modulation formats.

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“…Using coherent detection, the powerful compensation of transmission impairments can be implemented in electrical domain. With the full information of the received signals, the chromatic dispersion, the polarization mode dispersion, the carrier phase noise and the fiber Kerr nonlinearities can be equalized and mitigated using digital signal processing (DSP) [11][12][13][14][15][16][17][18][19][20][21][22].…”

Section: Introductionmentioning

confidence: 99%

Digital Signal Processing for Optical Communications and Networks

Xu¹

2017

Optical Fiber and Wireless Communications

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T h ea c h i e v a b l ei n f o r m a t i o nr a t e so fo p t i c a lcommunication networks have been widelyincreased over the past four decades with the introduction and development of optical amplifiers, coherent detection, advanced modulation formats, and digital signal processing techniques. These developments promoted the revolution of optical communication systems and the growth of Internet, towards the direction of high-capacity and long-distance transmissions. The performance of long-haul high-capacity optical fiber communication systems is significantly degraded by transmission impairments, such as chromatic dispersion, polarization mode dispersion, laser phase noise and Kerr fiber nonlinearities. With the entire capture of the amplitude and phase of the signals using coherent optical detection, the powerful compensation and effective mitigation of the transmission impairments can be implemented using the digital signal processing in electrical domain. This becomes one of the most promising techniques for next-generation optical communication networks to achieve a performance close to the Shannon capacity limit. This chapter will focus on the introduction and investigation of digital signal processing employed for channel impairments compensation based on the coherent detection of optical signals, to provide a roadmap for the design and implementation of real-time optical fiber communication systems.

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Digital Adaptive Carrier Phase Estimation in Multi-level Phase Shift Keying Coherent Optical Communication Systems

Cited by 4 publications

References 51 publications

Shrinkage sinusoidal phase estimation based on spherical simplex unscented transform and bootstrap method

Shrinkage sinusoidal phase estimation based on spherical simplex unscented transform and bootstrap method

Carrier phase estimation in dispersion-unmanaged optical transmission systems

Digital Signal Processing for Optical Communications and Networks

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