Abstract
A well-positioned ensemble of multistatic radar receivers can offer improved target localization accuracy over a monostatic radar; however, its system performance is sensitive to placement of the multistatic radar receivers with respect to the illumination source and the target. This paper describes a new approach to solving the multistatic receiver placement problem using an offline optimization technique. A multi-objective Genetic Algorithm (GA) optimization is used to solve for the positions of three or more multistatic receivers that minimize the target localization error over the entire airspace that a target is expected to traverse. In our work, we also developed a novel offline receiver selection algorithm that automatically selects the subset of multistatic receivers used by the online multistatic radar within each sub-region of the target's airspace. The inputs to the GA are the number of receivers and the spatial extent of the target's expected airspace. The outputs of the GA are the optimized radar receiver positions and the predicted target localization accuracy for the multistatic radar.
Published Version
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