Using bidirectional modulation of 2-Ch phase modulator as basis for nonlinear distortion compensation in analog photonic links

2013 ◽  
Vol 11 (8) ◽  
pp. 080603-80606 ◽  
Author(s):  
Jian Niu Jian Niu ◽  
Kun Xu Kun Xu ◽  
Xiaojun Xie Xiaojun Xie ◽  
Yitang Dai Yitang Dai ◽  
Jianqiang Li Jianqiang Li ◽  
...  
Keyword(s):  
Nonlinear Distortion ◽  
Phase Modulator ◽  
Distortion Compensation ◽  
Bidirectional Modulation ◽  
Photonic Links

scholarly journals An algorithm using genetic programming for the compensation of nonlinear distortion based on wiener system model

2004 ◽  
Vol 17 (2) ◽  
pp. 219-229
Author(s):  
Changsong Xie ◽  
Li Xuhui
Keyword(s):  
Genetic Programming ◽  
Nonlinear Distortion ◽  
Linear Time ◽  
Iteration Algorithm ◽  
Wiener Model ◽  
Distortion Compensation ◽  
Object System ◽  
Linear Time Invariant ◽  
Wiener System ◽  
Time Invariant

In this paper we presented an iteration algorithm using genetic programming (GP) to get the Wiener model of a nonlinear system and then to compensate the nonlinear distortion. The GP is used to identify the linear time-invariant (LTI) part and memory less nonlinear (MLNL) part of the Wiener model of the object system. By means of iteration, the identification precision will be improved gradually with the iteration steps. In order to compensate the non linearity a distortion compensation function (DCF) will be estimated also by means of GP. If the object system can be well described using Wiener model, this algorithm converges. The experiment results show that the compensation precision is fairly high.

Distortion Analysis of Memory-Less Nonlinear Sensors

2003 ◽  
Author(s):  
Sugathevan Suranthiran ◽  
Suhada Jayasuriya
Keyword(s):  
Nonlinear Distortion ◽  
Proper Choice ◽  
Signal Recovery ◽  
Distortion Compensation ◽  
Convergence Parameter ◽  
Distortion Analysis ◽  
Nonlinear Sensors ◽  
Simulation Results ◽  
With Memory ◽  
Recovery Procedure

Distortion associated with memory-less nonlinear sensors is analyzed and several distortion compensation techniques are presented. Sensor nonlinearity is considered a defect in sensory systems because it introduces distortion into the system. Due to the fact that no efficient technique is available to deal with the issues related sensor nonlinearity, nonlinear primary sensors tend to be ignored. In this paper, we point out that there are certain advantages of using nonlinear sensor and nonlinear distortion caused by sensor nonlinearity may be completely compensated. A robust and efficient signal recovery procedure is derived to facilitate the design of nonlinear sensors. Not having an accurate sensor will result in errors and it is shown that the error can be minimized with a proper choice of a convergence parameter whereby stability of the developed algorithm is established. Simulation results are presented to validate the algorithms developed.

Blind Iterative Nonlinear Distortion Compensation Based on Thresholding

2017 ◽  
Vol 64 (7) ◽  
pp. 852-856 ◽  
Author(s):  
Masoumeh Azghani ◽  
Amirata Ghorbani ◽  
Farokh Marvasti
Keyword(s):  
Nonlinear Distortion ◽  
Distortion Compensation
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