Signal sensing by multiple compressive projection measurement

Compressive sensing (CS) is a new approach to simultaneous sensing and compression that enables a potentially large reduction in the sampling of signals having a sparse representation in some basis. However, the most recent recovery algorithms are successful only under condition of an acceptable signal to noise ratio (SNR). In this paper we will analyze and discuss sparse signal recovery for the low-SNR case by introducing the multiple compressive projection measurement approach (MCPM). First results show that MCPM is a very promising method to enhance the recovery stability with presence of strong background noise.