Implementation of a new model for automatic link generation device using neural network

In this article, the modeling of Automatic Link Establishment device or ALE using neural networks or artificial intelligence is introduced. In general, the performance of an ALE device can be modeled. The purpose of modeling is to design this device using new methods and implement it using existing tools and thus localize it. In this regard, in this article, using neural networks and MLP algorithm, it has been tried to model and implement the overall performance of the ALE device. At first, after examining telecommunication channels and nonlinear effects and noise on data transmission, a model for data transmission in telecommunication channels has been introduced and coded in the MATLAB software environment. Then the types of neural networks and their applications have been introduced and the best algorithm has been selected for modeling the ALE device. In the following, several models have been made and compared using MATLAB software tools and MLP algorithm coding. Finally, the proposed model, which is based on the MLP algorithm, can predict the right channel for each new output with the least error. After optimization, the proposed models can be implemented on FPGA and provide a way to build this device in the country.