Abstract
An efficient MIP-APSA (EMIP-APSA) is proposed via incorporating l 0-norm as a better measure of sparseness into a recently presented memory-improved proportionate affine projection sign algorithm (MIP-APSA) to enhance performance for sparse system identification. Also, to reduce computational complexity of EMIP-APSA, we achieve a simple implementation of the EMIP-APSA (SEMIP-APSA) while maintaining the consistent performance in terms of convergence rate and steady-state misalignment. Simulation results demonstrate that the proposed EMIP-APSA and SEMIP-APSA obtain a lower steady-state misalignment in comparison with the MIP-APSA for sparse system identification in the impulsive noise environment.
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