Optical Fiber Communication Conference and National Fiber Optic Engineers Conference 2009
DOI: 10.1364/ofc.2009.omt1
|View full text |Cite
|
Sign up to set email alerts
|

Adaptive Chromatic Dispersion Equalization for Non-Dispersion Managed Coherent Systems

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
45
0

Year Published

2009
2009
2019
2019

Publication Types

Select...
5
4

Relationship

1
8

Authors

Journals

citations
Cited by 46 publications
(45 citation statements)
references
References 3 publications
0
45
0
Order By: Relevance
“…The PMD and polarization rotation equalization could be realized by employing the adaptive LMS and constant modulus algorithm (CMA) equalizers [30,31]. The CD compensation is implemented by using a frequency domain equalizer (FDE) with appropriate parameters [32,33], which has been analyzed in our previous work [34].…”
Section: Simulation Investigation Of Pdm-qpsk Transmission Systemmentioning
confidence: 99%
“…The PMD and polarization rotation equalization could be realized by employing the adaptive LMS and constant modulus algorithm (CMA) equalizers [30,31]. The CD compensation is implemented by using a frequency domain equalizer (FDE) with appropriate parameters [32,33], which has been analyzed in our previous work [34].…”
Section: Simulation Investigation Of Pdm-qpsk Transmission Systemmentioning
confidence: 99%
“…In a situation with non-zero dispersion slope this is not the case, and adaptive LMS filtering after complex multiplication to remove the phase noise should be expected to give better BER performance than FDE (or FD-FIR) filtering. When it comes to the update of CD equalization filter weights in the situation with non-zero dispersion slope then this appears major modifications for the FD-FIR filter (see [7,8,21]) whereas it is straightforward to update the filter frequency response for the FDE filter [9,10,21]. For the LMS filter, this is a straightforward and automated part of the adaptive filter optimization.…”
Section: Simulation Results and Discussionmentioning
confidence: 99%
“…Several discrete (digital) filters have been applied to compensate the chromatic dispersion in the time and frequency domain [4][5][6][7][8][9][10][11][12]. These include the maximum likelihood sequence estimation (MLSE) method [5], a time domain fiber dispersion finite impulse response (FD-FIR) filter [7,8,12], or a frequency domain equalizer (FDE) [9][10][11][12]. It is important to note that there is a complicated interplay between the discrete chromatic dispersion compensation and the laser phase noise.…”
Section: Introductionmentioning
confidence: 99%
“…In the following, a blind estimation algorithm first introduced in [14] will be presented that restricts the equalizer solutions to the inverse of the dispersion transfer function from (2), thus stabilizing the equalizer convergence. The presented minimumsearch algorithm is nondata aided and works prior to the timing recovery.…”
Section: B Dispersion Estimationmentioning
confidence: 99%