Research on Fault Prediction of Computer AI Aeronautical Communication Automation System Based on AD9361 Chip

This paper presents a self-correcting algorithm for amplitude and phase deviation of an intermediate frequency receiving channel. The algorithm uses fast Fourier transform (FFT) and amplitude phase error estimation technology to realize automatic error correction in the receiving channel. The amplitude and phase errors of each channel are automatically calibrated in a simple and fast way, which ensures the accuracy of signal transmission and the stable operation of the system. In addition, this paper also introduces the architecture of a software defined radio aviation communication system based on zero IF, which uses ZYNQ and AD9361 platforms to design an airborne signal transmitter with adjustable radio frequency to meet the needs of frequency band conversion in different environments. The simulation experiments of base frequency data and its running state show that the simulator can generate fixed frequency and frequency-hopping signals with various modulation modes and wide operating bands. After error correction, all channels show a good consistency, which provides a reliable guarantee for the subsequent beamforming process.