Conventional fingerprinting techniques may face difficulties in dealing with the localization of unknown radios, due to the lack of knowledge regarding the radio parameters during the fingerprint database construction phase. In this paper, interpolation of the database in multiple domains as well as pattern matching will be discussed from a machine learning point of view, and evaluated through simulations.