Adaptive measurement fusion algorithm for active and passive sensors

To the influence of distance between observation station and target on tracking performance,a measurement fusion algorithm based on fuzzy distance threshold for active and passive sensors is introduced to the target tracking system.The method choosing data fusion module based on distance parameter is discussed,and exponential functions and fuzzy processing are used to compute real-time weight of each sensor in measurement fusion process through priori knowledge.Simulation shows that the adaptive measurement fusion algorithm is more stable and can bring all complementary characteristic into full play of active and passive sensors compared to traditional invariable-weight method when random errors caused by target distance cannot be ignored.