FINDING THE MINIMUM SAMPLING FREQUENCY OF MULTI-BRAND SIGNALS: AN EFFICIENT ITERATIVE ALGORITHM

Abstract

In this paper, we propose an efficient iterative algorithm for finding the minimum sampling frequency for a signal that consists of multiple bandpass signals. This finds important application in software radio where it is desirable to down-convert multiple bandpass signals simultaneously. We will derive a new set of conditions for alias-free sampling for signals that contain multi-band signals. The conditions can be easily examined with few computations. The minimum sampling frequency can be found by iteratively increasing the sampling frequency can be found by iteratively increasing the sampling frequency to meet the alias-free conditions. The simulations demonstrate that the proposed method required a much lower complexity than existing algorithms.