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Interpolation-based matrix pencil method for parameter estimation of dispersive media in civil engineering
- Source :
- Signal Processing, Signal Processing, Elsevier, 2010, pp.2567-2580, Signal Processing, Elsevier, 2010, 90 (8), pp 2567-2580. ⟨10.1016/j.sigpro.2010.03.003⟩, Signal Processing, 2010, 90, pp.2567-2580
- Publication Year :
- 2010
- Publisher :
- HAL CCSD, 2010.
-
Abstract
- In this paper, we propose a modified matrix pencil method for the problem of time delay estimation in dispersive media obeying a particular frequency power law, namely, the constant-Q model. Being based on a Vandermonde decomposition of the prediction matrix, the matrix pencil method produces biased estimates when applied directly to data of the constant-Q model. The proposed approach allows to compensate for the bias inherent to the classical method by restoring the Vandermonde structure via a spline-interpolation technique. The restoration involves an iterative procedure where each iteration selects a set of interpolated samples depending on the value of the quality factor of the previous iteration. The algorithm is tested on simulated data representing radar acquisitions over a stratified dispersive medium, and its performance is assessed against the Cramer-Rao lower bound.
- Subjects :
- Mathematical optimization
0211 other engineering and technologies
02 engineering and technology
Upper and lower bounds
law.invention
Matrix (mathematics)
law
0202 electrical engineering, electronic engineering, information engineering
Electrical and Electronic Engineering
Radar
ComputingMilieux_MISCELLANEOUS
021101 geological & geomatics engineering
Mathematics
Estimation theory
RADAR PENETRANT
020206 networking & telecommunications
Vandermonde matrix
ESTIMATION DES TEMPS DE RETARD
MATRICE
Control and Systems Engineering
Signal Processing
Matrix pencil
Computer Vision and Pattern Recognition
Algorithm
Cramér–Rao bound
Software
Interpolation
Subjects
Details
- Language :
- English
- ISSN :
- 01651684 and 18727557
- Database :
- OpenAIRE
- Journal :
- Signal Processing, Signal Processing, Elsevier, 2010, pp.2567-2580, Signal Processing, Elsevier, 2010, 90 (8), pp 2567-2580. ⟨10.1016/j.sigpro.2010.03.003⟩, Signal Processing, 2010, 90, pp.2567-2580
- Accession number :
- edsair.doi.dedup.....2f24676ba1b1922bf3a52a1e1a701938
- Full Text :
- https://doi.org/10.1016/j.sigpro.2010.03.003⟩