SSF Subspace Fitting Algorithm Program for DOA Estimation in Beamforming

This program implements the SSF (Subspace Fitting) algorithm for Direction of Arrival (DOA) estimation in beamforming applications. The algorithm enables real-time estimation of signal direction angles during beamforming processes, facilitating accurate signal source localization and tracking. The SSF algorithm operates by performing subspace decomposition and fitting on received signals to extract directional information. Key implementation aspects include: - Signal subspace extraction through eigenvalue decomposition of the covariance matrix - Noise subspace identification and orthogonal property utilization - Parameter optimization using fitting techniques between signal and noise subspaces - DOA estimation via peak detection in the spatial spectrum The program can be integrated into various beamforming systems to enhance localization accuracy and tracking performance. It features modular code structure with functions for signal preprocessing, covariance matrix computation, subspace decomposition, and angle estimation. The implementation supports array calibration and can handle multiple signal sources with configurable resolution parameters.