Carrier Phase Recovery Algorithms for Coherent Optical Circular mQAM Systems

Navarro, Jaime Rodrigo; Kakkar, Aditya; Pang, Xiaodan; Ozoliņš, Oskars; Schatz, Richard; Olmedo, Miguel Iglesias; Jacobsen, Gunnar; Popov, Sergei

doi:10.1109/jlt.2016.2545339

Cited by 17 publications

(22 citation statements)

References 16 publications

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“…For 64QAM, employing 64 test phases, a~31% increase of phase noise tolerance is achieved with the proposed F-BPS scheme. It is noted that the complexity of the C-BPS algorithm is directly related to the number of employed test phases and its filter block length [16]. The authors have observed that, for the same linewidth levels, similar filter block lengths were required for both the C-BPS and the F-BPS cases even when employing different numbers of test phases.…”

Section: Simulation Resultsmentioning

confidence: 99%

Blind Phase Search with Angular Quantization Noise Mitigation for Efficient Carrier Phase Recovery

et al. 2017

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Abstract:The inherent discrete phase search nature of the conventional blind phase search (C-BPS) algorithm is found to introduce angular quantization noise in its phase noise estimator. The angular quantization noise found in the C-BPS is shown to limit its achievable performance and its potential low complexity implementation. A novel filtered BPS algorithm (F-BPS) is proposed and demonstrated to mitigate this quantization noise by performing a low pass filter operation on the C-BPS phase noise estimator. The improved performance of the proposed F-BPS algorithm makes it possible to significantly reduce the number of necessary test phases to achieve the C-BPS performance, thereby allowing for a drastic reduction of its practical implementation complexity. The proposed F-BPS scheme performance is evaluated on a 28-Gbaud 16QAM and 64QAM both in simulations and experimentally. Results confirm a substantial improvement of the performance along with a significant reduction of its potential implementation complexity compared to that of the C-BPS.

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Section: Simulation Resultsmentioning

confidence: 99%

Blind Phase Search with Angular Quantization Noise Mitigation for Efficient Carrier Phase Recovery

et al. 2017

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“…Then, the signal is directly fed in the receiver and passed to a DSP-based demodulator where different CPR algorithms are applied for their relative performance evaluation. In order to mitigate the effect of cycle slips, the symbols are then differentially decoded [14], and the number of bit errors is counted for the bit error rate (BER) evaluation. The performance of the proposed algorithm is compared to the single-stage n-PSK partitioning algorithm, BPS algorithm in Sq-mQAM constellations (BPS Sq-mQAM ), and BPS in C-mQAM constellations (BPS C-mQAM ).…”

Section: Simulation Setup and Resultsmentioning

confidence: 99%

“…The proposed CPR scheme is divided in two stages, and its block diagram is depicted in Figure 2. The first stage corresponds to the n-PSK partitioning CPR algorithm [14]. The second stage is composed of the same functional blocks as the first stage.…”

Section: Two-stage N-psk Partitioning Scheme For C-mqammentioning

confidence: 99%

“…Due to its particular shape, circular multilevel quadrature amplitude modulation (C-mQAM) constellations provide a higher phase noise tolerance compared to Sq-QAM constellations. The n-PSK partitioning CPR scheme for C-mQAM constellations proposed in [13,14] achieves a relatively high linewidth tolerance with a low computational complexity. However, the algorithm requires a priori amplitude discrimination for symbol classification, which undermines its performance at low optical signal-to-noise ratios (OSNRs).…”

Section: Two-stage N-psk Partitioning Scheme For C-mqammentioning

confidence: 99%

“…Figure 1 also shows the bit mapping, differential sector decoding, and amplitude odd/even symbol classes, which were proposed in [14] and are employed in this paper. The proposed CPR scheme is divided in two stages, and its block diagram is depicted in Figure 2.…”

Section: Two-stage N-psk Partitioning Scheme For C-mqammentioning

confidence: 99%

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Two-Stage n-PSK Partitioning Carrier Phase Recovery Scheme for Circular mQAM Coherent Optical Systems

Navarro¹,

Kakkar

Pang³

et al. 2016

Photonics

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A novel two-stage n-PSK partitioning carrier phase recovery (CPR) scheme for circular multilevel quadrature amplitude modulation (C-mQAM) constellations is presented. The first stage of the algorithm provides an initial rough estimation of the received constellation, which is utilized in the second stage for CPR. The performance of the proposed algorithm is studied through extensive simulations at the forward error correction bit error rate targets of 3.8ˆ10´3 and 1ˆ10´2 and is compared with different CPR algorithms. A significant improvement in the combined linewidth symbol duration product (∆νT s ) tolerance is achieved compared to the single-stage n-PSK partitioning scheme. Superior performance in the ∆νT s tolerance compared to the blind phase search algorithm is also reported. The relative improvements with respect to other CPR schemes are also validated experimentally for a 28-Gbaud C-16QAM back-to-back transmission system. The computational complexity of the proposed CPR scheme is studied, and reduction factors of 24.5 | 30.1 and 59.1 | 63.3 are achieved for C-16QAM and C-64QAM, respectively, compared to single-stage BPS in the form of multipliers | adders.

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Experimental investigation of extended Kalman Filter combined with carrier phase recovery for 16-QAM system

Shu

et al. 2018

Optics Communications

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Carrier Phase Recovery Algorithms for Coherent Optical Circular mQAM Systems

Cited by 17 publications

References 16 publications

Blind Phase Search with Angular Quantization Noise Mitigation for Efficient Carrier Phase Recovery

Blind Phase Search with Angular Quantization Noise Mitigation for Efficient Carrier Phase Recovery

Two-Stage n-PSK Partitioning Carrier Phase Recovery Scheme for Circular mQAM Coherent Optical Systems

Experimental investigation of extended Kalman Filter combined with carrier phase recovery for 16-QAM system

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