Clipping and quantization noise mitigation in intensity-modulated direct detection O-OFDM systems based on the FHT

Author(s):  
Laia Nadal ◽  
Michela Svaluto Moreolo ◽  
Josep Maria Fabrega ◽  
Gabriel Junyent
2015 ◽  
Vol 2015 ◽  
pp. 1-10
Author(s):  
Zhongpeng Wang ◽  
Xiumin Wang ◽  
Fangni Chen ◽  
Weiwei Qiu ◽  
Linpeng Ye

A scaling technique is employed to improve the performance of a Discrete Cosine Transform (DCT) precoded optical intensity-modulated direct detection (IM/DD) OFDM system, which fully exploits the dynamic range of a digital-to-analog converter (DAC). The theoretical analysis shows that the proposed scaling scheme can improve the BER performance of DCT precoded and scaled OFDM systems. The experiment results also show that the proposed scheme significantly improves the BER performance without changing the receiver structure. The measured received sensitivity at a BER of 10−3for a 4 G samples/s (2.7 Gbits/s) DCT precoded and scaled OFDM signal and after 100 km standard single-mode fiber (SMF) transmission has been improved by 3 and 1.3 dB when compared with the original OFDM system and conventional DCT precoded OFDM system, respectively.


Author(s):  
Josep M. Fabrega ◽  
Pascual Sevillano ◽  
Michela Svaluto Moreolo ◽  
Juan Jose Martinez ◽  
Asier Villafranca ◽  
...  

2015 ◽  
Vol 33 (7) ◽  
pp. 1417-1424 ◽  
Author(s):  
Mohamed Morsy-Osman ◽  
Mathieu Chagnon ◽  
Michel Poulin ◽  
Stephane Lessard ◽  
David V. Plant

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 74500-74510
Author(s):  
Xinrong Lv ◽  
Youming Li ◽  
Yongqing Wu ◽  
Xiaoli Wang ◽  
Hui Liang

2018 ◽  
Vol 2018 ◽  
pp. 1-11 ◽  
Author(s):  
Xin-Rong Lv ◽  
Youming Li ◽  
Yu-Cheng He

An efficient impulsive noise estimation algorithm based on alternating direction method of multipliers (ADMM) is proposed for OFDM systems using quadrature amplitude modulation (QAM). Firstly, we adopt the compressed sensing (CS) method based on the l1-norm optimization to estimate impulsive noise. Instead of the conventional methods that exploit only the received signal in null tones as constraint, we add the received signal of data tones and QAM constellations as constraints. Then a relaxation approach is introduced to convert the discrete constellations to the convex box constraints. After that a linear programming is used to solve the optimization problem. Finally, a framework of ADMM is developed to solve the problem in order to reduce the computation complexity. Simulation results for 4-QAM and 16-QAM demonstrate the practical advantages of the proposed algorithm over the other algorithms in bit error rate performance gains.


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