UCLA

Recent advances in Compressed Sensing theory has lead researcher to apply these techniques to the design of sampling systems which can sample spectrally sparse signals with a wide bandwidth below the Nyquist rate. Xampling is a framework proposed to design such Sub-Nyquist sampling systems. This work presents results and analysis of simulations of impairments in of such systems. The impacts of hardware impairments, choice of reconstruction algorithm, signal energy dynamic range and channel mismatches on system performance are studied. Results show that if a system is designed with a sufficient number of channels then it may be able to maintain performance despite impairment.