Lorentz constraint angle estimation method and system in non-gaussian environment

A Lorentz constraint angle estimation method in a non-Gaussian environment, comprising:

• constructing an N-time slot received signal model based on a non-Gaussian noise environment to obtain a reflected signal;
• the constructing the N-time slot received signal model comprises:
• based on a non-Gaussian noise system environment, using Intelligent Reconfigurable Surface to reflect a target signal and non-target interference signals, adjusting amplitudes and phases of the target signal and interference signals, and converging the target signal and the interference signals on a same channel of a receiver to construct the N-time slot received signal model;
• constructing a cost model based on Lorenz norm by a difference value between an actual received signal and the reflected signal, and performing an angle estimation by combining with an atomic norm to obtain a signal sparse reconstruction model;
• constructing an augmented Lagrangian function by the signal sparse reconstruction model, and carrying out an iterative update on the augmented Lagrangian function to obtain a reconstructed signal;
• and
• analyzing the reconstructed signal and searching spectral peaks globally to obtain spatial spectral peak points, and completing an angle estimation of the reconstructed signal.