Hybrid Lower Bound On The MSE Based On The Barankin And Weiss-Weinstein Bounds
Abstract
This article investigates hybrid lower bounds in order to predict the estimators mean square error threshold effect. A tractable and computationally efficient form is derived. This form combines the Barankin and the Weiss-Weinstein bounds. This bound is applied to a frequency estimation problem for which a closed-form expression is provided. A comparison with results on the hybrid Barankin bound shows the superiority of this new bound to predict the mean square error threshold.
Keywords
Parameter estimation
frequency estimation problem
prediction theory
MSE
hybrid bound
Weiss-Weinstein bound
mean square error methods
frequency estimation
SNR threshold
Lower bound on the mean square error
Barankin bound
Context
Estimation
Bayes methods
Vectors
Signal to noise ratio
hybrid Barankin bound
mean square error threshold effect prediction
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