A novel spike-train generator suitable for QCA implementation towards UWB-IR applications

Abstract

In this paper, a novel spike-train generator suitable for quantum-dot cellular automaton (QCA) implementation is proposed. As an analysis tool of the proposed generator, a novel spike phase map is derived. Then, using the map, it is shown that the proposed generator can generate spike-trains with various spike patterns in terms of period, density, and correlation. Furthermore, a stochastic algorithm for parameter tuning for the proposed generator is proposed. It is shown that the parameter tuning algorithm enables the proposed generator to generate spike-trains suitable for ultra wide band impulse radio (UWB-IR) communication, ranging, and positioning systems. A QCA layout of the generator obtained by the parameter tuning algorithm is designed and its operation is verified by a QCA simulator.