DocumentCode :
864250
Title :
High-resolution frequency-domain reflectometry by estimation of modulated superimposed complex sinusoids
Author :
Hamme, Hugo Van
Author_Institution :
Vrije Univ., Brussels, Belgium
Volume :
41
Issue :
6
fYear :
1992
fDate :
12/1/1992 12:00:00 AM
Firstpage :
762
Lastpage :
767
Abstract :
By assuming a parametric model for a linear one-port or two-port, the time-domain resolution of a vector network analyzer can be significantly improved with respect to the Rayleigh limit. The measurement problem is formulated as a nonlinear least squares parameter estimation problem involving the extremization of a cost function. An extremization algorithm with good global convergence properties is presented for the case of discontinuities of small reflectivity modeled as simple lumped frequency-dependent elements. The reflection coefficient at either port of the device under test is modeled as a superposition of modulated complex sinusoids. Through optimization of a sequence of cost functions, the algorithm produces a sequence of fits for models that incorporate an increasing number of discontinuities
Keywords :
convergence of numerical methods; least squares approximations; network analysers; optimisation; parameter estimation; reflectometry; Rayleigh limit; cost function; discontinuities; extremization; frequency-domain reflectometry; global convergence; linear one-port; linear two-port; lumped frequency-dependent elements; modulated superimposed complex sinusoids; nonlinear least squares parameter estimation; optimization; parametric model; signal model; superposition; time-domain resolution; vector network analyzer; Convergence; Cost function; Frequency domain analysis; Frequency estimation; Least squares approximation; Parameter estimation; Parametric statistics; Reflectometry; Time domain analysis; Vectors;
fLanguage :
English
Journal_Title :
Instrumentation and Measurement, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9456
Type :
jour
DOI :
10.1109/19.199407
Filename :
199407
Link To Document :
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