The purpose of this thesis is to investigate signal processing algorithms that allow multiple moving receivers to locate a stationary emitter. This problem has received considerable attention over the past 50 years, yet advances in computational power, sensor technologies and increasingly complex battle space scenarios continue to drive interest in this area. This work focuses on implementing well-known least squares and Kalman based algorithms within a realistic three dimensional simulation model. Techniques for evaluating the performance of various algorithms include generating ellipse-shaped confidence regions that bound the target under consideration, along with generating polygon shaped confidence regions based on intersecting regions from multiple receivers. The presence of outlier angle of arrival measurements is shown to significantly degrade the performance of geolocation algorithms. Methods for imparting robustness to outlier angle of arrival measurements are developed and shown to mitigate the corresponding loss in performance that would otherwise occur.by Gregory W. Fisher.M.S.E.C.E.