Systems and methods for spatial filtering using data with widely different error magnitudes

A method for spatially filtering data includes receiving a plurality of signal parameter vectors including spatial-type information derived from a sensor and associated with a signal emitter, determining error magnitudes of a plurality of first and second coordinates, and transmitting the plurality of coordinates to at least two arrays of differing sparsity in an array data structure when the error magnitudes differ by a predetermined amount, where each array is representative of a physical spatial domain from which a plurality of signals are received by the sensor. The method also includes determining a plurality of elliptical error region probability objects representative of probability density functions of the plurality of coordinates, where each object is stored in association with at least one of the at least two arrays, and determining an intersection region between the plurality of objects that is representative of a location of the signal emitter.