This paper presents a novel reduced complexity SNR estimator, whose performances are comparable with the Maximum-Likelihood estimator while saving one half of the floating point multiplications and one third of the floating point sums. A detailed statistical description of the estimate, as well as simulation results, are provided.

E.A. Candreva, G.E. Corazza, A. Vanelli-Coralli (2009). A REDUCED COMPLEXITY SNR ESTIMATOR. s.l : s.n.

A REDUCED COMPLEXITY SNR ESTIMATOR

CANDREVA, ENZO ALBERTO;CORAZZA, GIOVANNI EMANUELE;VANELLI CORALLI, ALESSANDRO
2009

Abstract

This paper presents a novel reduced complexity SNR estimator, whose performances are comparable with the Maximum-Likelihood estimator while saving one half of the floating point multiplications and one third of the floating point sums. A detailed statistical description of the estimate, as well as simulation results, are provided.
2009
Proceedings of the 27th International Communication Satellite Systems Conference, ICSSC 2009
E.A. Candreva, G.E. Corazza, A. Vanelli-Coralli (2009). A REDUCED COMPLEXITY SNR ESTIMATOR. s.l : s.n.
E.A. Candreva; G.E. Corazza; A. Vanelli-Coralli
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/80840
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