Implementation aspects of generalized bandpass sampling

BandPass Sampling (BPS) realizes frequency down-conversion in radio receiver front-ends by a sampling rate that can be slightly larger than twice the information bandwidth compared to twice the highest frequency for traditional LowPass Sampling (LPS). However, some implementation problems, harmful signal spectral folding, noise aliasing and sampling jitter, are unavoidably present in conventional BPS systems. Under recent research, generalized bandpass sampling combined with filtering has been proposed for dealing with these problems. In this paper, the novel sampling architectures with intrinsic FIR and IIR filtering are implemented using a sampled-data technique called Switched-Capacitor (SC) circuit technique. Specifically complex SC filtering is designed and analyzed. Both the analysis and simulation results show that the designed complex SC filter fulfils the expectations of generalized bandpass sampling.