An obvious use for feature and attribute data is for target typing (discrimination, classification, identification, or recognition) and in combat identification. Another use is in the data (or track) association process to reduce the misassociations. In target tracking, the data association function is often decomposed into two steps. The first step, the gating process, is a preliminary threshold process to eliminate unlikely measurement-track pairs. This is followed by the second step, the process of selecting measurement-track pairs or assigning weights to measurement-track pairs so that the tracks can be updated by a filter. In a previous paper the first step (the gating process) was discussed for integrating features and attributes intro target track processing. The primary concern of this paper is the second step of the tracker processing to use feature and attribute data in the data association process for tracking small targets with data from one or more sensors. In addition, methods of integrating the classification processing into the target tracker processing is also addressed i.e. classification aided target tracking.