CSM-Based Adaptive Beamforming with Unitary Focusing

When implementing the CSM adaptive beamforming algorithm in this study, we employed the unitary focusing method with an 8-element array configuration. The system operates with a signal-to-noise ratio (SNR) of 10dB and an interference-to-noise ratio (INR) of 20dB. The interference signals are uncorrelated with the desired signals. Both signals and interference occupy the frequency band of 80-120Hz, corresponding to a relative bandwidth of 40%. The arrival angles are specified as seta_S_reg for the desired signal and seta_J_reg for the interference. The CSM adaptive beamforming algorithm implementation typically involves computing the sample covariance matrix from array measurements, applying diagonal loading for numerical stability, and calculating optimal weights using the minimum variance distortionless response (MVDR) criterion. This approach enhances signal reception quality by suppressing interference while maintaining desired signal integrity, thereby improving overall system performance and reliability. Key implementation steps include spatial preprocessing, covariance matrix estimation with proper regularization, and real-time weight adaptation based on the changing signal environment.