Caracterización Espectral Mediante el Método Modificado por Regularización de Prony Fusionado con Estimadores Espectrales No Paramétricos de Alta Resolución (Spectral Caracterization via Fusing Modified Prony Method with High Resolution Nonparametric Spectral Estimators)

José Luis Ponce-Dávalos (jlponce@itesm.mx)1, Yuriy V. Shkvarko (shkvarko@cts-design.com)2


1ITESM Campus Guadalajara, México.
2CINVESTAV del IPN, Unidad Guadalajara, México

This paper appears in: Revista IEEE América Latina

Publication Date: July 2005
Volume: 3,   Issue: 3 
ISSN: 1548-0992


Abstract:
In this paper, we present a new approach to high-resolution spectral characterization of the unknown number of spectral line components embedded in colored noise. The addressed method resolves the spectral analysis problem via intelligent fusing the two spectrum estimation paradigms: (i) the parametric line spectral estimation that employs the modified regularized Prony (MORP) method for multi-harmonic signal characterization and (ii) nonparametric spectral estimation. Two nonparametric high-resolution spectral estimation methods are proposed to be fused with the MORP: the minimum variance (MV) and maximum entropy (ME) techniques. Via aggregation of the developed model-based MORP and model-free MV/ME techniques into the fused MORP-MV/MORP-ME resulting method a substantial improvement of the spectral characterization performances is gained when those are applied to characterization/analysis of the composed distributed scenes that contain noised closely spaced spectral lines to be localized with high resolution and accuracy. The simulation results are presented to illustrate the performance enhancement gained with the proposed fused MORP-MV/MORP-ME method.

Index Terms:
Spectral Analysis, Maximum Entropy (ME) Estimator, Minimum Variance (MV) Estimator Modified Regularized Prony Method (MORP)   


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