Experimental demonstration of adaptive digital monitoring and compensation of chromatic dispersion for coherent DP-QPSK receiver

Borkowski, Robert; Zhang, Xu; Zibar, Darko; Younce, Richard; Monroy, Idelfonso Tafur

doi:10.1364/oe.19.00b728

Cited by 21 publications

(12 citation statements)

References 7 publications

(9 reference statements)

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“…In addition, the metric is varied by updating the tap coefficients of FIR filter. In [6,9], the mathematical autocorrelation matrix of sampled signal has been proven to illustrate the distortion or ISI in the optical fiber communication. Hence, it is anticipated that the singular value of autocorrelation matrix could be potentially utilized for CD estimation with high stability, low complexity and less computational time.…”

Section: Singular Value Of Signal Autocorrelation Matrix For Accuratementioning

confidence: 99%

“…It has been demonstrated that the CD estimation error reach to thousands of ps/nm when the symbol rate is lower than 8 Gsymbol/s. In [6] the average of autocorrelation matrix eigenvalue of received signal is used to search the maximum value by scanning the presetting CD range. However, the CD range depends on many facts such as fiber length and OTN structure.…”

Section: Introductionmentioning

confidence: 99%

“…Considering the respective advantages of [4,6], a CD estimation method with high accuracy and short response time is proposed for optical polarizationdivision-multiplexing (PDM)-quadrature phase shift keying (QPSK) signals with multiple symbol rates. Essentially, two mathematical autocorrelation features of received signal are used together in this work.…”

Section: Introductionmentioning

confidence: 99%

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Chromatic Dispersion Estimation for Optical PDM-QPSK Communication System without Symbol Rate Limitation

Wei¹,

Huang²,

Zhou³

et al. 2017

dtmse

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Chromatic dispersion (CD) is one of main channel impairments in the ultra-long optical fiber communication based on polarization-division-multiplexing (PDM) technic. Therefore, CD estimation is an important step during coherent detection in the optical receiver. In this paper, an accurate and fast CD estimation method using two mathematical autocorrelation features of received signal is presented. We firstly use the autocorrelation of signal power waveform (ACSPW) to roughly estimate CD value and scanning range, and then singular value of signal autocorrelation matrix (SVSACM) is utilized to search the maximum value in the estimated CD range for accurate CD estimation. Compared with simply used ACSPW in the PDM-quadrature phase shift keying (QPSK) transmission system, the results of numerical simulations show that the proposed method can effectively expand the symbol rates limitation. Moreover, the scanning efficiency of SVACM can be improved to be faster than that without coarse estimation, due to the fact that the CD scanning size becomes relatively small

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Section: Singular Value Of Signal Autocorrelation Matrix For Accuratementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Chromatic Dispersion Estimation for Optical PDM-QPSK Communication System without Symbol Rate Limitation

Wei¹,

Huang²,

Zhou³

et al. 2017

dtmse

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show abstract

“…Even though advanced chromatic dispersion estimation algorithms are used [30], the amount compensated in CD compensation step may be off by as much as couple of hundred of ps/nm. To account for this residual CD, and to address other time varying impairments -particularly polarization mode dispersion (PMD) -another equalization stage is used.…”

Section: Polarization Demultiplexing and Equalizationmentioning

confidence: 99%

Anatomy of a Digital Coherent Receiver

Borkowski

Zibar

Monroy

2014

IEICE Trans. Commun.

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SUMMARYDigital coherent receivers have gained significant attention in the last decade. The reason for this is that coherent detection, along with digital signal processing (DSP) allows for substantial increase of the channel capacity by employing advanced detection techniques. In this paper, we first review coherent detection technique employed in the receiver as well as the required receiver structure. Subsequently, we describe the core part of the receiver -DSP algorithms -that are used for data processing. We cover all basic elements of a conventional coherent receiver DSP chain: deskew, orthonormaliation, chromatic dispersion compensation/nonlinear compensation, resampling and timing recovery, polarization demultiplexing and equalization, frequency and phase recovery, digital demodulation. We also describe novel subsystems of a digital coherent receiver: modulation format recognition and impairment mitigation via expectation maximization, which may gain popularity with increasing importance of autonomous networks.

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“…An example of blind estimation performance is shown in Fig. 2b) for CD estimation of polarization division multiplexed (PDM) quadrature phase shift keying (QPSK) system after 80 km of fiber transmission using four different estimation methods [8].…”

Section: Optical Performance Monitoringmentioning

confidence: 99%

Performance monitoring techniques supporting cognitive optical networking

Caballero

Borkowski

Zibar

et al. 2013

2013 15th International Conference on Transparent Optical Networks (ICTON)

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High degree of heterogeneity of future optical networks, such as services with different quality-of-transmission requirements, modulation formats and switching techniques, will pose a challenge for the control and optimization of different parameters. Incorporation of cognitive techniques can help to solve this issue by realizing a network that can observe, act, learn and optimize its performance, taking into account end-to-end goals.In this letter we present the approach of cognition applied to heterogeneous optical networks developed in the framework of the EU project CHRON: Cognitive Heterogeneous Reconfigurable Optical Network. We focus on the approaches developed in the project for optical performance monitoring, which enable the feedback from the physical layer to the cognitive decision system by providing accurate description of the performance of the established lightpaths. Keywords: optical networks, cognition, dynamic optical networks, optical performance monitoring. INTRODUCTIONOptical networks are nowadays becoming more heterogeneous, ranging from different types of services, switching paradigms to physical interfaces. Therefore, network operators are facing the challenge of supporting a plethora of services, each with individual requirements on quality of service (QoS). Operators have also available different transmission technologies for their optical transport networks, such as coding, modulation formats or data rates. Moreover, in the short and medium term, optical networks may simultaneously support different switching paradigms such as semi-static and dynamic circuit switching. Hence, a key issue of highly heterogeneous networks is how to efficiently control and manage network resources while fulfilling user demands and complying with QoS requirements. A solution for such a scenario may come from cognitive networks. A cognitive network is defined as "a network with a process that can perceive current network conditions, and then plan, decide and act on those conditions. The network can learn from these adaptations and use them to make future decisions, all while taking into account end-to-end goals" [1]. Hence, a cognitive network should provide better end-to-end performance than a non-cognitive network. Cognitive paradigm have already shown to be a promising solution for wireless networks [1,2]. Cognition is also applicable to optical communication architectures [3][4][5], since it can offer flexibility to telecom operators by optimizing simultaneously physical layer components' characteristics (modulation format, forward error correction -FEC, wavelength capacity, etc.) and network layer parameters (bandwidth, number of simultaneous lightpaths, QoS, etc.) depending on application or service requirements.The aim of CHRON is to develop a showcase network architecture and a control plane that efficiently uses resources in a heterogeneous scenario, while fulfilling the QoS requirements of each type of services. To achieve this goal, CHRON relies on cognition, so that control decisions mus...

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Experimental demonstration of adaptive digital monitoring and compensation of chromatic dispersion for coherent DP-QPSK receiver

Cited by 21 publications

References 7 publications

Chromatic Dispersion Estimation for Optical PDM-QPSK Communication System without Symbol Rate Limitation

Chromatic Dispersion Estimation for Optical PDM-QPSK Communication System without Symbol Rate Limitation

Anatomy of a Digital Coherent Receiver

Performance monitoring techniques supporting cognitive optical networking

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