Statistical analysis of MUSIC and subspace rotation estimates of sinusoidal frequencies

DOI10.1109/78.91154zbMath0729.62088OpenAlexW2166764037MaRDI QIDQ3354945

Petre Stoica, Torsten Söderström

Publication date: 1991

Published in: IEEE Transactions on Signal Processing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1109/78.91154

zbMATH Keywords

MUSICeigendecompositionsubspace rotationestimates of sinusoidal frequenciesestimation error varianceslarge- sample second-order properties of multiple signal classificationSUR estimation

Mathematics Subject Classification ID

Inference from stochastic processes and spectral analysis (62M15) Signal theory (characterization, reconstruction, filtering, etc.) (94A12)

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New approaches for channel prediction based on sinusoidal modeling ⋮ Cramér-Rao bound for estimates of frequencies and damping factors of real superimposed signals with multiple poles in noise ⋮ Super-resolution of point sources via convex programming ⋮ A statistically and computationally efficient method for frequency estimation ⋮ Closed-form real single-tone frequency estimator based on a normalized IIR notch filter ⋮ M-estimator-based robust estimation of the number of components of a superimposed sinusoidal signal model ⋮ Super-resolution from noisy data ⋮ Analysis of state space system identification methods based on instrumental variables and subspace fitting ⋮ Super-Resolution of Positive Sources: The Discrete Setup ⋮ Super-resolution of positive sources on an arbitrarily fine grid ⋮ Approximate maximum likelihood frequency estimation ⋮ Statistical analysis of an eigendecomposition based method for 2-D frequency estimation ⋮ Cramér-Rao bound for the estimates of frequencies and damping factors of quasipolynomials in noise

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