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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Miller, E.K. |
| Copyright Year | 2013 |
| Description | Author affiliation: Los Alamos Nat. Lab., Los Alamos, NM, USA (Miller, E.K.) |
| 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. |
| Starting Page | 54 |
| Ending Page | 58 |
| File Size | 555442 |
| Page Count | 5 |
| File Format | |
| e-ISBN | 9781479916160 |
| DOI | 10.1109/DSP-SPE.2013.6642564 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2013-08-11 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Frequency modulation Uncertainty Computational modeling Antenna radiation patterns Electromagnetics Fitting Convergence sampling methods Parameter estimation antenna radiation patterns adaptive estimation interpolation |
| Content Type | Text |
| Resource Type | Article |
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