A generalized quadrature bandpass sampling in radio receivers

Bandpass sampling (BPS) realizes frequency down-conversion by undersampling. Noise aliasing as the direct consequence of the lower sampling rate causes a performance degradation. In this paper, a generalized quadrature BPS (GQBPS) combined with a filter which performs both reconstruction and bandpass filtering is studied in the frequency domain with respect to both signal reconstruction and noise aliasing reduction. The theoretical analyses show that GQBPS might be a potential way to reduce noise aliasing at the cost of a more complicated reconstruction algorithm.