Performance evaluation of OFDM with a nonlinear distortion compensation technique using partial transmit sequence and predistortion

2004 ◽  
Vol 87 (6) ◽  
pp. 34-42
Author(s):  
Takaaki Horiuchi ◽  
Weizu Yang ◽  
Tomoaki Ohtsuki ◽  
Iwao Sasase
2004 ◽  
Vol 17 (2) ◽  
pp. 219-229
Author(s):  
Changsong Xie ◽  
Li Xuhui

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.


Author(s):  
Sugathevan Suranthiran ◽  
Suhada Jayasuriya

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.


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 ◽  
...  

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