Intelligent Estimation of Frequency Domain Parameters for Satellite Communication Interference with Alpha-Stable Noise

Nowadays, the satellite communication system is subject to various interferences from the outside world. Therefore, to improve the reliability and security of the system, it is necessary to conduct in-depth research on the satellite communication interference, and one of the most important contents is the parameter estimation. In this paper, a novel intelligent estimation method of frequency domain parameters for satellite communication interference with alpha-stable noise is proposed. First, the received interference signal is filtered by myriad filter to suppress non-Gaussian noise. Then, we use the Fourier transform and the spatial pyramid pooling network (Spp-net) to estimate the bandwidth. Finally, we estimate the carrier frequency using the Fourier transform and Alexnet network. Simulation results show that the proposed method performs better than basic network structures under low generalized jamming noise ratio (GJNR) environment.