Adaptive classification of interfering signals in a shared radio frequency environment

In a shared radio frequency environment, several intentional and unintentional transmitters are expected to co-exist. Hence, the ability to identify the source of an arbitrary interfering signal, using an automated diagnostic tool, is desirable. This paper describes the development of a scheme that can be used to construct such a diagnostic tool.<
>