SYSDOct 17, 2015

Block Sparse Memory Improved Proportionate Affine Projection Sign Algorithm

arXiv:1510.05073v122 citations
Originality Synthesis-oriented
AI Analysis

This is an incremental improvement for signal processing applications requiring robust identification in noisy environments.

The paper tackles block sparse system identification under impulsive noise by proposing BS-MIP-APSA, which achieves faster convergence rate and better tracking ability compared to APSA and MIP-APSA.

A block sparse memory improved proportionate affine projection sign algorithm (BS-MIP-APSA) is proposed for block sparse system identification under impulsive noise. The new BS-MIP-APSA not only inherits the performance improvement for block-sparse system identification, but also achieves robustness to impulsive noise and the efficiency of the memory improved proportionate affine projection sign algorithm (MIP-APSA). Simulations indicate that it can provide both faster convergence rate and better tracking ability under impulsive interference for block sparse system identification as compared to APSA and MIP-APSA.

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