Title :
Sequential fusion filter of dissimilar sensor data based on IAC algorithm
Author :
Wang, Y.Y. ; Yang, W.Q. ; Ge, X.Y.
Author_Institution :
Dept. of Autom. Control, Beijing Inst. of Technol.
Abstract :
Supposing that there are two dissimilar sensor (e.g. radar and infrared detector), a multi-sensor data sequential fusion filter (MSDSFF) has been proposed. For maneuvering target tracking, an interactive acceleration compensation (IAC) algorithm has been introduced into the MSDSFF (IAC/MSDSFF). Considering the performance and the computational requirement, the IAC/MSDSFF is an effective approach
Keywords :
filtering theory; infrared detectors; radar detection; radar tracking; sensor fusion; tracking filters; IAC algorithm; dissimilar sensor data; infrared detector; interactive acceleration compensation algorithm; maneuvering target tracking; multisensor data sequential fusion filter; performance; radar detector; Acceleration; Azimuth; Filters; Infrared detectors; Infrared sensors; Radar detection; Radar measurements; Sensor fusion; Target tracking; Time measurement;
Conference_Titel :
Signal Processing, 1996., 3rd International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-2912-0
DOI :
10.1109/ICSIGP.1996.567296