Detection and sensitivity analysis of compressed sensing electronic RF receiver

Compressed sensing (CS) technique has been applied in various areas of signal processing including RF signal processing. It is attractive due to its potential wideband coverage with reduced sampling rate. We conduct performance analysis of compressed sensing in receiver application. The compressed sensing uses two modulations and sampling schemes: non-uniform sampling (NUS), and Pseudo Random Code (PRC). Two algorithms are used to process the compressed signals: OMP (Orthogonal Matching Pursuit) and PE (Parameter Estimation). Signal's detection sensitivity is analyzed through probability density function and the detection threshold according to the predetermined false alarm rate. Methods to remedy issue caused by modulations are proposed, and the sensitivity simulation results are also presented. The comparison of the one-signal detection sensitivity using remedy version of OMP and PE on the NUS modulation schemes are also presented and discussed. Sensitivity analysis for variable measurement matrices is then presented.