Modified Reduced Look Ahead Orthogonal Matching Pursuit under the Condition of Unknown Sparsity

This paper introduces the basic information about compressive sensing theory and some reconstruction algorithms, such as Orthogonal Matching Pursuit (OMP) and Reduced Look Ahead Orthogonal Matching Pursuit (RLAOMP). RLAOMP performs well in reconstruction, but it needs the exact sparsity. We introduces a modified sparsity adaptive version of RLAOMP, which uses a Modified Sparsity Adaptive Matching Pursuit instead of the Subspace Pursuit to estimate the sparsity. The simulation results showed that it performs well under the condition of unknown sparsity.