Navigation Signal Radio Frequency Channel Modeling and Predistortion Technology Based on Artificial Intelligence Technology and Neural Network

Digital predistortion technology is widely used in wireless communication. As a vital part of communication system, the radio frequency power amplifier has always been hot and difficult topic. This paper will research explore key technologies channel construction navigation information through artificial intelligence neural network. The article first conducts simple on new generation systems--artificial an engineering scientific that develops theories, methods, skills, application systems for modeling, scaling, amplifying collective human knowledge. Then, combines network algorithms. BP not only synthetic but also multiple layer fed-forward Finally, method proposed to model predistort load model. RF distortion can be constructed, modeling simulation experiment are carried out. experimental results this showed compared with situation without predistortion, two indicators zero-crossing slope offset discriminant function output signal had greatly improved. Overall, network-based outperformed RVTDNN by 30% these metrics. It indicated could cascade well, better accuracy effect than