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.

Smart Antenna Algorithm - Sampling Matrix Inversion Method

Recently acquired from my professor's laboratory, this smart antenna algorithm employs the sampling matrix inversion technique. It features an extremely concise implementation with minimal computational overhead on DSP platforms, making it an excellent practical solution.