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| Publications [#66683] of Jeffrey L. Krolik
Papers Published
- Kraut, Shawn and Krolik, Jeffrey, Optimal subspace selection for non-linear parameter estimation applied to refractivity from clutter,
IEEE Signal Processing Workshop on Statistical Signal and Array Processing, SSAP
(2000),
pp. 113 - 117, Pennsylvania, PA, USA [SSAP.2000.870093]
(last updated on 2007/04/16)
Abstract: We consider the problem of constructing an optimal reduced-rank subspace for parameter estimation, in models where the data is a non-linear function of the parameters. The solution which minimizes mean-squared error is a compromise between the prior distribution, and the measurement model, reducing to the Karhunen-Loeve Transform when only the prior is considered. The measurement model determines which parameters the measured data is less sensitive to, and which are therefore less estimatable. Our approach obtains parameterizations in which the influence of these parameters is reduced, so that limited resources may be allocated to more estimatable features. We apply it to the problem of estimating index-of-refraction profiles from sea-surface clutter data.
Keywords: Spectrum analysis;Parameter estimation;Clutter (information theory);Mathematical models;Error analysis;Statistical methods;Probability distributions;Mathematical transformations;Digital filters;
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