Pilot-aided carrier phase recovery for M-QAM using superscalar parallelization based PLL

Zhuge, Qunbi; Morsy-Osman, Mohamed; Xu, Xia; Mousa-Pasandi, Mohammad E.; Chagnon, Mathieu; El-Sahn, Ziad A.; Plant, David V.

doi:10.1364/oe.20.019599

Cited by 37 publications

(15 citation statements)

References 10 publications

(1 reference statement)

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“…Therefore, (13) and (14) can be averaged over two polarizations for better estimation and higher noise rejection. Alternatively, for a more efficient implementation, the adaptation process can be divided between two polarizations where half of the coefficients are updated using the X-polarization, and the remaining coefficients are calculated using the Y-polarization.…”

Section: Optimization Of Quantized Perturbation Coefficientsmentioning

confidence: 99%

“…A training-symbol-aided decision directed least radius distance [12] based fractionally spaced linear equalizer with 15 taps was used for fast convergence of the coefficients. The carrier phase was recovered using the superscalar parallelization based phase locked loop combined with a maximum likelihood phase estimation [13]. Next and for comparison purposes, the fiber nonlinearity is compensated using either our novel adaptive nonlinear equalizer or the linearly quantized perturbation based post nonlinearity compensation technique.…”

Section: Optimization Of Quantized Perturbation Coefficientsmentioning

confidence: 99%

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Adaptive Optimization of Quantized Perturbation Coefficients for Fiber Nonlinearity Compensation

Malekiha

Plant

2016

IEEE Photonics J.

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In the perturbation-based nonlinearity compensation (PB-NLC) technique, quantization of perturbation coefficients is employed for reduction of computational and implementation complexity. In this paper, we propose and experimentally verify the adoption of a decision-directed least mean square algorithm for optimization and complexity reduction of PB-NLC equalizer. We show that for 32-GBaud dual polarization 16-QAM after 2560 km of single-mode fiber, the proposed scheme further reduces the computational term by 46%, compared with that of conventional PB-NLC with uniform quantization of perturbation coefficients for the same Q-factor improvement.

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Section: Optimization Of Quantized Perturbation Coefficientsmentioning

confidence: 99%

Section: Optimization Of Quantized Perturbation Coefficientsmentioning

confidence: 99%

Adaptive Optimization of Quantized Perturbation Coefficients for Fiber Nonlinearity Compensation

Malekiha

Plant

2016

IEEE Photonics J.

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“…After subcarrier de-multiplexing [11], the proposed ADBP compensator was employed with the optimized compensation factor ξ. The remaining DSP blocks included the timing recovery, the adaptive equalization to compensate residual linear impairments and de-multiplex polarizations, and carrier phase recovery [21]. For the SCM systems, the average bit error rate (BER) of all the subcarriers is calculated to evaluate the performance of the system.…”

Section: B Complexity Of Ldbpmentioning

confidence: 99%

XPM Model-Based Digital Backpropagation for Subcarrier-Multiplexing Systems

Zhang

Zhuge

Qiu

et al. 2015

J. Lightwave Technol.

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Abstract-An advanced digital backpropagation (ADBP) algorithm is proposed to compensate fiber nonlinearities in subcarrier-multiplexing (SCM) systems. We derive the analytical expression and describe the implementation of the ADBP. In addition, the computational complexity of the ADBP as well as the conventional low-pass filter assisted DBP (LDBP) is analyzed and compared. In a 34.94 Gbaud/s single channel SCM transmission experiment, we demonstrate that the proposed ADBP with only two steps (40 spans/step for QPSK at 6400 km and 16 spans/step for 16QAM at 2560 km) has a comparable performance to the LDBP algorithm with 40 steps (2 spans/step) for QPSK and 8 steps (4 spans/step) for 16QAM, respectively. Moreover, compared to single carrier (SC) systems using only linear compensation (LC), the ADBP algorithm with 40 spans/step for QPSK and 16 spans/step for 16QAM can extend the maximum reach by 49.7% and 27.3% for the two formats, respectively. The contribution to the reach extension consists of 19.7% and 23.6% which are attributable to the nonlinear compensation algorithm when compared to SCM systems using LC for QPSK and 16QAM, respectively. The remainder of the improvements are attributable to the use of the SCM scheme. Finally, simulations of 60 Gbaud/s systems show additional improvements using the ADBP schemes compared to the LDBP schemes, indicating the benefits of ADBP in future high capacity optical transmission systems. IndexTerms-Subcarrier-multiplexing system, digital backpropagation, fiber nonlinearity, coherent transmission.

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“…They should be formattransparent in a hitless flexible coherent transceiver in order to minimize power consumption. Recently, a superscalar phase-locked loop (PLL) was proposed for the parallel implementation of CPE for arbitrary modulation formats [18][19][20]. However, its integration with a format-transparent parallel adaptive equalizer has not been investigated.…”

Section: Introductionmentioning

confidence: 99%

Modulation format identification aided hitless flexible coherent transceiver

Xiang¹,

Zhuge²,

Qiu³

et al. 2016

Opt. Express

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We propose a hitless flexible coherent transceiver enabled by a novel modulation format identification (MFI) scheme for dynamic agile optical networks. The modulation format transparent digital signal processing (DSP) is realized by a block-wise decision-directed least-mean-square (DD-LMS) equalizer for channel tracking, and a pilot symbol aided superscalar phase locked loop (PLL) for carrier phase estimation (CPE). For the MFI, the modulation format information is encoded onto the pilot symbols initially used for CPE. Therefore, the proposed MFI method does not require extra overhead. Moreover, it can identify arbitrary modulation formats including multi-dimensional formats, and it enables tracking of the format change for short data blocks. The performance of the proposed hitless flexible coherent transceiver is successfully evaluated with five modulation formats including QPSK, 16QAM, 64QAM, Hybrid QPSK/8QAM and set-partitioning (SP)-512-QAM. We show that the proposed MFI method induces a negligible performance penalty. Moreover, we experimentally demonstrate that such a hitless transceiver can adapt to fast block-by-block modulation format switching. Finally, the performance improvement of the proposed MFI method is experimentally verified with respect to other commonly used MFI methods.

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Pilot-aided carrier phase recovery for M-QAM using superscalar parallelization based PLL

Cited by 37 publications

References 10 publications

Adaptive Optimization of Quantized Perturbation Coefficients for Fiber Nonlinearity Compensation

Adaptive Optimization of Quantized Perturbation Coefficients for Fiber Nonlinearity Compensation

XPM Model-Based Digital Backpropagation for Subcarrier-Multiplexing Systems

Modulation format identification aided hitless flexible coherent transceiver

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