ARCON has implemented various target detection algorithms based on statistical decision theory. We have developed target detection and acquisition algorithm based on ML-PDA estimator. We also implemented trackers based on IMM and MHT. ARCON has he expertise to design, develop and implement a complete tracking subsystem for surveillance operations.

When multiple dissimilar sources deliver different types of data to an information system, identifying the correct association of information to a common object and deriving the desired output in real time is a major challenge in the IT industry. ARCON has developed the expertise to perform multi-dimensional association of data to a common object and simultaneously extract the fused information with very low probability of misassociation. Based on this principle we have developed a fusion tracker for ATC tracking subsystem.

Identifying cooperative and non-cooperative targets is an important function of a surveillance system. ARCON has designed and implemented a surveillance system that makes use of the target's behavior and received information together with a-priori information to classify targets into these categories.

A valuable tool in our analysis of ATC systems is our multi-sensor multi-target trajectory simulator. This simulator accepts scenario inputs from a text file and outputs sensor measurements in both CD-2 and ASTERIX formats. This simulator is capable of delivering ADS-B measurements as well. It displays the target trajectories in real time using an OpenGL display interface and has a GUI developed using Visual C++ MFC.