In this paper we present a new fast and low-complex frequency estimation method for single-tone sinusoidal signals able to achieve the Cramer-Rao lower bound. In comparison to other frequency estimation methods, the proposed one has a better trade-off between complexity and estimation range and its implementation is feasible even in resource-constrained microcontrollers, as those commonly used in Industrial Internet of Things (IIoT) applications and low-cost instrumentation.

A new frequency estimation algorithm for IIoT applications and low-cost instrumentation

Giuseppe Campobello
;
Antonino Segreto;Nicola Donato
2020-01-01

Abstract

In this paper we present a new fast and low-complex frequency estimation method for single-tone sinusoidal signals able to achieve the Cramer-Rao lower bound. In comparison to other frequency estimation methods, the proposed one has a better trade-off between complexity and estimation range and its implementation is feasible even in resource-constrained microcontrollers, as those commonly used in Industrial Internet of Things (IIoT) applications and low-cost instrumentation.
2020
978-1-7281-4460-3
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11570/3173049
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