1. A method to arrive at a set of uniquely identified candidate objects comprising: (a) obtaining input data from physical phenomena sensors; (b) comparing the input data to known technical attributes of uniquely identified objects to obtain a set of initial candidate objects; (c) obtaining best-known object location and status history for each initial candidate object using previously known location and status information of each initial candidate object; (d) assigning a statistical weight to each initial candidate object based on its maximum calculated speed and speed capabilities of each initial candidate object; (e) generating an association probability of each of the initial candidate objects to the input data to arrive at a set of final candidate objects; and (f) re-evaluating any of the above steps (a)-(e) with data considered to be current that was not used in the above steps (a)-(e), wherein the set of final candidate objects are uniquely identified candidate objects arrived at with current data.