AN EFFICIENT DECENTRALIZED MULTIRADAR MULTITARGET TRACKER FOR AIR SURVEILLANCE

We present an efficient multiradar multitarget tracking (MTT) algorith m for air surveillance, This tracker uses a multisensor track-to-track correlation method called the sequential minimum normalized distance nearest neighbor (SMNDNN) correlation with the majority decision makin g MDM/OR logic to solve the multisensor assignment problem. A sequenti al fuser based on the mean square error criterion is then used to fuse the tracks generated by the trackers. Real-life multiradar data colle cted from an air surveillance radar network located along the coastlin e of Canada is used to evaluate the effectiveness of this distributed tracker. Analysis shows that this tracker provides a reliable air surv eillance picture.