Multidimensional rank reduction estimator for parametric MIMO channel models
EURASIP Journal on Applied Signal Processing
Almost sure identifiability of constant modulus multidimensional harmonic retrieval
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
Cramer-Rao bound on the estimation accuracy of complex-valuedhomogeneous Gaussian random fields
IEEE Transactions on Signal Processing
Estimating two-dimensional frequencies by matrix enhancement andmatrix pencil
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
Nonmatrix Cramer-Rao bound expressions for high-resolutionfrequency estimators
IEEE Transactions on Signal Processing
Almost-sure identifiability of multidimensional harmonic retrieval
IEEE Transactions on Signal Processing
Cramer-Rao lower bounds for low-rank decomposition ofmultidimensional arrays
IEEE Transactions on Signal Processing
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The harmonic model sampled on a P-dimensional grid contaminated by an additive white Gaussian noise has attracted considerable attention with a variety of applications. This model has a natural interpretation in a P-order tensorial framework and an important question is to evaluate the theoretical lowest variance on the model parameter (angular-frequency, real amplitude and initial phase) estimation. A standard Mathematical tool to tackle this question is the Cramer-Rao bound (CRB) which is a lower bound on the variance of an unbiased estimator, based on Fisher information. So, the aim of this work is to derive and analyze closed-form expressions of the deterministic asymptotic CRB associated with the M-order harmonic model of dimension P with P1. In particular, we analyze this bound with respect to the variation of parameter P.