Nonlinear Modeling of Super-Resolution Near Field Structure System based on the Volterra and Neural Network Models
نویسندگان
چکیده
Reliable channel modeling becomes an important measure in performance evaluation on various data detection algorithms. For this reason, correct and accurate modeling is required. This paper presents a nonlinear modeling of Super-RENS (Super-Resolution Near Field Structure) read-out signal using the second-order Volterra and neural network models. The experiment results verified the possibility that Volterra and neural network models can be utilized for nonlinear modeling of Super-RENS systems. Furthermore, nonlinear equalizers can be developed based on the information obtained from this nonlinear modeling.
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