In this article, the Cramér-Rao lower bounds (CRLBs) for unbiased estimators of sampled real-valued sine-wave parameters are analyzed. Sine-wave frequency is assumed either known or unknown, and both coherent and noncoherent sampling conditions are considered. It is shown that the CRLBs coincide with the relationships widely used in the literature only when both coherent sampling occurs and the sine-wave frequency is known. In fact, when few sine-wave cycles are observed, errors associated with the widely used relationships may be significant. Approximate, but accurate and quite simple expressions for the CRLBs are also proposed in this article. All the derived expressions are verified through numerical results or computer simulations.
Cramér-Rao Lower Bound for Unbiased Estimators of Sampled Noisy Sine-Wave Parameters / Belega, D.; Petri, D.. - In: IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT. - ISSN 0018-9456. - ELETTRONICO. - 70:(2021), pp. 1-9. [10.1109/TIM.2021.3122791]
Cramér-Rao Lower Bound for Unbiased Estimators of Sampled Noisy Sine-Wave Parameters
Petri D.
2021
Abstract
In this article, the Cramér-Rao lower bounds (CRLBs) for unbiased estimators of sampled real-valued sine-wave parameters are analyzed. Sine-wave frequency is assumed either known or unknown, and both coherent and noncoherent sampling conditions are considered. It is shown that the CRLBs coincide with the relationships widely used in the literature only when both coherent sampling occurs and the sine-wave frequency is known. In fact, when few sine-wave cycles are observed, errors associated with the widely used relationships may be significant. Approximate, but accurate and quite simple expressions for the CRLBs are also proposed in this article. All the derived expressions are verified through numerical results or computer simulations.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione
