Aaron D. Lanterman

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Investigators interested in model order estimation have tended to divide themselves into widely separated camps; this survey of the contributions of Schwarz, Wallace, Rissanen, and their coworkers attempts to build bridges between the various viewpoints, illuminating connections which may have previously gone unnoticed and clarifying misconceptions which(More)
We formulate a Bayesian approach to the joint tracking and recognition of airborne targets via reeected commercial television and FM radio signals measured by an array of sensors. Such passive systems may remain covert, whereas traditional active systems must reveal their presence and location by their transmissions. Since the number of aircraft in the(More)
Date Approved _________________ iii To my beloved wife Túria, with my endless gratitude, love and admiration. iv Acknowledgments First, I would like to thank Dr. John Barry for his guidance during my stay at Georgia Tech. His very clear and objective view of technical matters, as well as his deep insights, have influenced a lot my view of research in(More)
The symmetric measurement equation approach to multiple target tracking is revisited using unscented Kalman and particle filters. The characteristics and performance of these filters are compared to the original symmetric measurement equation implementation relying upon an extended Kalman filter. Counterintuitive results are presented and explained for two(More)
The symmetric measurement equation approach to multiple target tracking is revisited using unscented Kalman and particle filters. The characteristics and performance of these filters are compared to the original symmetric measurement equation implementation relying upon an extended Kalman filter. Counterintuitive results are presented and explained for two(More)
Radar imaging is often posed as a problem of estimating deterministic reflectances observed through a linear mapping and additive Gaussian receiver noise. We consider an alternative view which considers the reflectances themselves to be a realization of a random process; imaging then involves estimating the parameters of that underlying process. Purely(More)
We present a numerical comparison of the so-called ‘linear sampling’ inverse scattering methods developed by Colton and Kirsch, published in this journal, and linearized tomographic inverse scattering algorithms based on either holographic filtered backpropagation principles or a plain matrix inversion scheme. Although we restrict ourselves to(More)
Ronald Mahler’s Probability Hypothesis Density (PHD) provides a promising framework for the passive coherent location of targets observed via multiple bistatic radar measurements. We apply a particle filter implementation of the Bayesian PHD filter to target tracking using both range and Doppler measurements from a simple non-directional receiver that(More)
We adapt and apply a recently-developed region-enhanced synthetic aperture radar (SAR) image reconstruction technique to the problem of passive radar imaging. One goal in passive radar imaging is to form images of aircraft using signals transmitted by commercial radio and television stations that are reflected from the objects of interest. This involves(More)