scholarly journals Mitigation of Nonlinear Phase Noise in Single-channel Coherent 16-QAM Systems Employing Logistic Regression

Author(s):  
Romulo de Paula ◽  
Lucas Marim ◽  
Rafael Penchel ◽  
Yessica Rumaldo Bustamante ◽  
Marcelo Francisco Luis Abbade ◽  
...  

Abstract We propose and analyze a classier based on logistic regression (LR) to mitigate the impact of nonlinear phase noise (NPN) caused by Kerr induced self-phase-modulation in digital coherent systems with single-channel unrepeated links. Simulation results reveal that the proposed approach reduces the bit error ratio (BER) in a 100-km-long 16 quadrature amplitude modulation (16-QAM) system operating at 56-Gbps. Thus, the BER is reduced from 6.88·10 -4 when using maximum likelihood to 4.27·10 -4 after applying the LR-based classification, representing an increase of 0.36 dB in the effective Q-factor. This performance enhancement is achieved with only 624 operations per symbol, which can be easily parallelized into 16 lines of 39 operations.

2021 ◽  
Vol 53 (9) ◽  
Author(s):  
Rômulo A. de Paula ◽  
Lucas Marim ◽  
Rafael A. Penchel ◽  
Yésica R. R. Bustamante ◽  
Marcelo L. F. Abbade ◽  
...  

2012 ◽  
Vol 546-547 ◽  
pp. 582-587
Author(s):  
Xiao Wu Zhang ◽  
Wen Xing Bao ◽  
Hui Pu

Based on barcode PDF417 image’s characteristics, in order to improve the recognition of bar code, and reduce the bit error ratio, we proposed two methods. One way is to separate the calculation of the width of barcode’s unit from the extract codeword, another is the Recognition of bar blank sequence by using projection algorithm. Thereby, both methods reduce the impact of blurred images made by noisy pollution; the test proved that these two methods can deal with contaminated barcode image effectively.


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