Publications [#338944] of Lawrence Carin

Papers Published

1. Liao, X; Carin, L, Application of the theory of optimal experiments to adaptive electromagnetic-induction sensing of buried targets., IEEE transactions on pattern analysis and machine intelligence, vol. 26 no. 8 (August, 2004), pp. 961-972 [38], [doi]
   (last updated on 2024/12/31)

   Abstract:
   A mobile electromagnetic-induction (EMI) sensor is considered for detection and characterization of buried conducting and/or ferrous targets. The sensor may be placed on a robot and, here, we consider design of an optimal adaptive-search strategy. A frequency-dependent magnetic-dipole model is used to characterize the target at EMI frequencies. The goal of the search is accurate characterization of the dipole-model parameters, denoted bythe vector theta; the target position and orientation are a subset of theta. The sensor position and operating frequency are denoted by the parameter vector p and a measurement is represented by the pair (p, O), where O denotes the observed data. The parametersp are fixed for a given measurement, but, in the context of a sequence of measurements p may be changed adaptively. In a locally optimal sequence of measurements, we desire the optimal sensor parameters, P(N+1) for estimation of theta, based on the previous measurements (p(n), On)n=1,N. The search strategy is based on the theory of optimal experiments, as discussed in detail and demonstrated via several numerical examples.

   Keywords:
   Image sensors;Optimization;Magnetic moments;Robotics;Adaptive algorithms;Natural frequencies;Mathematical models;Parameter estimation;Matrix algebra;White noise;Maximum likelihood estimation;Iterative methods;