Tracking and fusion using multiple sensors

Abstract

Abstract Multisensor tracking and data fusion deals with combining data from various sources to arrive at an accurate assessment of the situation. Difficulties in performing multisensor tracking and fusion include not only ambiguous data, but also disparate data sources. The tracking and data association problem is further complicated by the facts that the target may not be detected by some sensors, dense false alarms and clutters may be present, and the target model may not be known exactly. In this paper, a multitarget tracking problem that involves data obtained from multiple MTI (Moving Target Indicator) sensors is considered. A tracking and fusion algorithm that takes into account the uncertainties in both data origin and target dynamic under the clutter environment is presented.