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https://doi.org/10.1109/JLT.2013.2285155
Title: | A low-complexity, low-cycle-slip-probability, format-independent carrier estimator with adaptive filter length | Authors: | Meiyappan, A. Kim, H. Kam, P.-Y. |
Keywords: | Blind phase search Block M th power Forward error correction Frequency offset Nonlinear optics Phase noise |
Issue Date: | 2013 | Citation: | Meiyappan, A., Kim, H., Kam, P.-Y. (2013). A low-complexity, low-cycle-slip-probability, format-independent carrier estimator with adaptive filter length. Journal of Lightwave Technology 31 (23) : 3806-3812. ScholarBank@NUS Repository. https://doi.org/10.1109/JLT.2013.2285155 | Abstract: | We present a low-complexity carrier estimator with an effective filter length that automatically adapts according to the signal-to-noise ratio, laser-linewidth-symbol-duration product, nonlinear phase noise, and modulation format. Laser-linewidth and frequency-offset tolerances are studied. The filter length of a carrier estimator is shown to affect the cycle slip probability besides the bit-error rate (BER) performance. Considering that forward-error-correction codes are not robust to burst errors and phase slips, we demonstrate that filter-length optimization is necessary to avoid spectral-efficiency reduction in pilot assisted systems and potential system failures in differential encoding systems. Our estimator achieves a lower cycle slip probability and a greater nonlinear phase noise tolerance than DiffFE-MPE, DiffFE-BPS, and complex-weighted decision-aided maximum-likelihood (CW-DA-ML) estimator. DiffFE-MPE and DiffFE-BPS refer to the differential frequency estimator (DiffFE) followed by block M th power phase estimator (MPE) and blind phase search (BPS), respectively. For a 4100 km quaternary phase-shift keying transmission at a BER of 2.5 × 10-2, our estimator achieves a cycle slip probability of 2.9 × 10-7 compared to 5.6 × 10-6, 5.3 × 10-6, and 3.2 × 10-7 for DiffFE-MPE, DiffFE-BPS, and CW-DA-ML, respectively. © 1983-2013 IEEE. | Source Title: | Journal of Lightwave Technology | URI: | http://scholarbank.nus.edu.sg/handle/10635/81881 | ISSN: | 07338724 | DOI: | 10.1109/JLT.2013.2285155 |
Appears in Collections: | Staff Publications |
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