Block Adaptive Processing Algorithm

The block adaptive processing algorithm first computes the sample covariance matrix from snapshot data blocks, then calculates the adaptive weight vector. A typical implementation is the Sample Matrix Inversion (SMI) algorithm. Simulation demonstrates that the sidelobe levels in SMI-based beamforming patterns are influenced by the number of signal snapshots, requiring careful parameter selection in practical implementations.