DocumentCode :
1833258
Title :
Adaptive windowed estimation of electromagnetic frequency spectra and radiation patterns to a specified uncertainty
Author :
Miller, E.K.
Author_Institution :
Los Alamos Nat. Lab., Los Alamos, NM, USA
fYear :
2013
fDate :
11-14 Aug. 2013
Firstpage :
54
Lastpage :
58
Abstract :
Common to areas involving waves and fields like acoustics and electromagnetics is the need to evaluate frequency spectra and far-field radiation patterns. This has usually been done on a point-wise basis, sampling a first-principles or generating model (GM) finely enough to ensure that important features such as narrow resonances and nulls are not missed. This can lead to many more samples, and consequently greater computational cost, than is really needed. Described below is an approach that employs a fitting model (FM) derived from model-based parameter estimation together with multiple, overlapping frequency- or angle-observation windows. Comparing FM samples in the overlapping windows shows where additional GM samples are needed to achieve a desired uncertainty in the computed results while minimizing the number of GM samples required.
Keywords :
adaptive estimation; electromagnetic wave propagation; sampling methods; signal processing; adaptive windowed estimation; angle observation window; electromagnetic frequency spectra; far field radiation pattern; fitting model; frequency observation window; generating model; model based parameter estimation; Antenna radiation patterns; Computational modeling; Convergence; Electromagnetics; Fitting; Frequency modulation; Uncertainty; Parameter estimation; adaptive estimation; antenna radiation patterns; interpolation; sampling methods;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Digital Signal Processing and Signal Processing Education Meeting (DSP/SPE), 2013 IEEE
Conference_Location :
Napa, CA
Print_ISBN :
978-1-4799-1614-6
Type :
conf
DOI :
10.1109/DSP-SPE.2013.6642564
Filename :
6642564
Link To Document :
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