scholarly journals Widely Linear Filtering for Multi-Impairment Compensation in Coherent Optical Systems

Author(s):  
Rekha Yadav ◽  
Lakshmi Narayanan Venkatasubramani ◽  
Ravinder David Koilpillai ◽  
Deepa Venkitesh

We propose a blind joint equalization algorithm for M-QAM signals based on a widely linear filtering approach. The proposed scheme jointly compensates receiver IQ imbalance and polarization mixing, along with carrier recovery, followed by transmitter IQ imbalance compensation. We first investigate the proposed scheme's tolerance to transceiver IQ Imbalance, polarization mixing, phase noise and frequency offset through numerical simulations for 32 GBd PM-16QAM and PM-64QAM signals and compare its performance with the conventional digital processing algorithms. Further, with the proposed algorithm, we experimentally demonstrate the improvement in Q<sup>2</sup> value to up to ~ 1.22 dB for a 32 GBd PM-16QAM and ~ 3.72 dB for a 16 GBd PM-64QAM signal with a phase imbalance of 9<sup>o</sup>. We show that the MSE convergence of the proposed joint equalizer is much faster than conventional DSP algorithms. Deployment of such an equalizer in optical communication systems is beneficial due to its improved tolerance to multiple impairments, albeit with increased complexity.

2021 ◽  
Author(s):  
Rekha Yadav ◽  
Lakshmi Narayanan Venkatasubramani ◽  
Ravinder David Koilpillai ◽  
Deepa Venkitesh

We propose a blind joint equalization algorithm for M-QAM signals based on a widely linear filtering approach. The proposed scheme jointly compensates receiver IQ imbalance and polarization mixing, along with carrier recovery, followed by transmitter IQ imbalance compensation. We first investigate the proposed scheme's tolerance to transceiver IQ Imbalance, polarization mixing, phase noise and frequency offset through numerical simulations for 32 GBd PM-16QAM and PM-64QAM signals and compare its performance with the conventional digital processing algorithms. Further, with the proposed algorithm, we experimentally demonstrate the improvement in Q<sup>2</sup> value to up to ~ 1.22 dB for a 32 GBd PM-16QAM and ~ 3.72 dB for a 16 GBd PM-64QAM signal with a phase imbalance of 9<sup>o</sup>. We show that the MSE convergence of the proposed joint equalizer is much faster than conventional DSP algorithms. Deployment of such an equalizer in optical communication systems is beneficial due to its improved tolerance to multiple impairments, albeit with increased complexity.


2014 ◽  
Author(s):  
Sofia B. Amado ◽  
Ricardo Ferreira ◽  
Pedro S. Costa ◽  
Fernando P. Guiomar ◽  
Somayeh Ziaie ◽  
...  

2016 ◽  
Vol 2 ◽  
pp. 27-33
Author(s):  
Ali Abdourahamane

The role of the optical transmitter is to generate the optical signal, impose the information bearing signal, and launch the modulated signal into the optical fiber. The semiconductor light sources are commonly used in state-of-the-art optical communication systems. Optical communication systems has become one of the important systems after the advent of telephone, internet, radio networks in the second half of the 20th century. The development of optical communication was caused primarily by the rapidly rising demand for Internet connectivity. Orthogonal frequency-division multiplexing (OFDM) belongs to a wide class of multicarrier modulation. Orthogonal frequency-division multiplexing has succeeded in a wide range of applications in the wireless communication domain from video/audio digital broadcasting to wireless local area networks (LANs). Although their very low loss compared to that of the wireless counterpart, optical systems still need renovation for spans commonly less than150 Km. In this paper advantages of optical orthogonal frequency division multiplexing in communications systems will explained.


2009 ◽  
Vol 129 (4) ◽  
pp. 601-607
Author(s):  
Shubi F. Kaijage ◽  
Yoshinori Namihira ◽  
Nguyen H. Hai ◽  
Feroza Begum ◽  
S. M. Abdur Razzak ◽  
...  

2009 ◽  
Vol E92-C (7) ◽  
pp. 922-928 ◽  
Author(s):  
Kikuo MAKITA ◽  
Kazuhiro SHIBA ◽  
Takeshi NAKATA ◽  
Emiko MIZUKI ◽  
Sawaki WATANABE

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