Multi-targets Measurement Based on Random-set in Complex Background

In a multi-sensor and multi-target fusion system, it is hard to fuse information collected by multi-sensor which is always in different data types. A random set measurement model to multi-target is a solution to uniform fusion. Based on random sets theory, false alarms and miss-detections in the background were considered, then, belief measure and its global density of targets were presented. From single-sensor single-target to multi-sensor multi-target, a useful random set measurement model to multi-target was proposed. The examples show that the proposed approach holds good effect and practicability on multi-target measurement.