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The problem of estimating a spatially distributed process described by a partial differential equation (PDE), whose observations are contaminated by a zero mean Gaussian noise, is considered in this work. The basic premise of this work is that a set of mobile sensors achieve better estimation performance than a set of immobile sensors. To enhance the(More)
—Space Situational Awareness (SSA) is composed of three interdependent tasks: discovery of new objects, tracking of detected objects, and characterization of tracked objects. Currently these problems are treated separately and independently of each other, which may result in the non-optimal processing of data, with a corresponding loss of potential(More)