Xu, T.; Jacobsen, G.; Popov, S.; Li, J.; Liu, T.; Zhang, Y.; Bayvel, P. Analytical Investigations on Carrier Phase Recovery in Dispersion-Unmanaged n-PSK Coherent Optical Communication Systems. Preprints2016, 2016080194. https://doi.org/10.20944/preprints201608.0194.v1
APA Style
Xu, T., Jacobsen, G., Popov, S., Li, J., Liu, T., Zhang, Y., & Bayvel, P. (2016). Analytical Investigations on Carrier Phase Recovery in Dispersion-Unmanaged <em>n</em>-PSK Coherent Optical Communication Systems. Preprints. https://doi.org/10.20944/preprints201608.0194.v1
Chicago/Turabian Style
Xu, T., Yimo Zhang and Polina Bayvel. 2016 "Analytical Investigations on Carrier Phase Recovery in Dispersion-Unmanaged <em>n</em>-PSK Coherent Optical Communication Systems" Preprints. https://doi.org/10.20944/preprints201608.0194.v1
Abstract
Using coherent optical detection and digital signal processing, laser phase noise and equalization enhanced phase noise can be effectively mitigated using the feed-forward and feed-back carrier phase recovery approaches. In this paper, theoretical analyses of feed-back and feed-forward carrier phase recovery methods have been carried out in the long-haul high-speed n-level phase shift keying (n-PSK) optical fiber communication systems, involving a one-tap normalized least-mean-square (LMS) algorithm, a block-wise average algorithm, and a Viterbi-Viterbi algorithm. The analytical expressions for evaluating the estimated carrier phase and for predicting the bit-error-rate (BER) performance (such as the BER floors) have been presented and discussed in the n-PSK coherent optical transmission systems by considering both the laser phase noise and the equalization enhanced phase noise. The results indicate that the Viterbi-Viterbi carrier phase recovery algorithm outperforms the one-tap normalized LMS and the block-wise average algorithms for small phase noise variance (or effective phase noise variance), while the one-tap normalized LMS algorithm shows a better performance than the other two algorithms for large phase noise variance (or effective phase noise variance). In addition, the one-tap normalized LMS algorithm is more sensitive to the level of modulation formats.
Engineering, Electrical and Electronic Engineering
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