DUAL METHOD OF MINIMUM SPATIAL EXTENT FOR ROBUST ESTIMATION OF DIPOLE RADIATION SOURCES

Numerical method for analysis of radiation from thin wire dipole antenna

A New Method for Geolocating of Radiation Sources Based on Evolutionary Computation of TDOA Equations

In this article a new method is introduced for geolocating of signal emitters which is based on evolutionary computation (EC) concept. In the proposed method two well-known members of EC techniques including Bees Algorithm (BA) and Genetic Algorithm (GA), are utilized to estimate the positions of emitters by optimizing the hyperbola equations which have been resulted from Time Difference of Arr...

Minimum volume semialgebraic sets for robust estimation

Motivated by problems of uncertainty propagation and robust estimation we are interested in computing a polynomial sublevel set of fixed degree and minimum volume that contains a given semialgebraic set K. At this level of generality this problem is not tractable, even though it becomes convex e.g. when restricted to nonnegative homogeneous polynomials. Our contribution is to describe and justi...

Robust minimum information loss estimation

Two robust estimators of amatrix-valued location parameter are introduced and discussed. Each is the average of the members of a subsample – typically of covariance or crossspectrum matrices – with the subsample chosen to minimize a function of its average. In one case this function is the Kullback–Leibler discrimination information loss incurred when the subsample is summarized by its average;...

Robust Estimation of the Number of Sources via the Minimum Description Length Estimator

Estimating the number of sources impinging on an array of sensors is a well known and well investigated problem. A common approach for solving this problem is to use an information theoretic criterion, such as the Minimum Description Length (MDL) or the Akaike Information Criterion (AIC). The MDL estimator is known to be a consistent estimator, robust against deviations from the Gaussian assump...