MATLAB Code Implementation for Antenna Signal Reception with Interference Analysis

During signal reception by the receiving antenna, a sudden interference signal emerges. This interference signal initiates from 0° direction and progressively rotates through a 90° arc. We observe the variation pattern of SINR (Signal-to-Interference-plus-Noise Ratio) throughout this process. The emergence of the interference signal impacts signal reception, causing fluctuations in SINR values. The MATLAB implementation typically involves using phased array system toolbox functions like `phased.IsotropicAntennaElement` for antenna modeling and `phased.MUSICEstimator` for direction-of-arrival analysis. The interference rotation can be simulated through angular sweep algorithms with `linspace(0,90,N)` for angle increments, while SINR calculation incorporates signal power measurement using `bandpower()` function and interference analysis through covariance matrix computations with `cov()`. The presence of interference necessitates further investigation into the characteristics of the干扰 signal to develop solutions that mitigate its impact on signal quality. This typically involves implementing adaptive filtering algorithms like LMS (Least Mean Squares) or RLS (Recursive Least Squares) using `dsp.LMSFilter` or `dsp.RLSFilter` objects, and potentially incorporating beamforming techniques with `phased.PhaseShiftBeamformer` to nullify interference directions while maintaining main lobe towards desired signals.