  Recognition and identification of unknown targets is a crucial task in
surveillance and security systems. Electronic Support Measures (ESM) are one of
the most effective sensors for identification, especially for maritime and
air--to--ground applications. In typical surveillance systems multiple ESM
sensors are usually deployed along with kinematic sensors like radar. Different
ESM sensors may produce different types of reports ready to be sent to the
fusion center. The focus of this paper is to develop a new architecture for
target recognition and identification when non--homogeneous ESM and possibly
kinematic reports are received at the fusion center. The new fusion
architecture is evaluated using simulations to show the benefit of utilizing
different ESM reports such as attributes and signal level ESM data.
