Title :
A probabilistic data association algorithm for multisensor multitarget tracking
Author :
Wenlong, Hu ; Shiyi, Mao
Author_Institution :
Dept. of Electron. Eng., Beijing Univ. of Aeronaut. & Astronaut., China
Abstract :
With the target states in 3D Cartesian system being sequentially projected into the sensor measurement spaces, the joint probabilistic data association (JPDA) algorithm is extended into the multisensor tracking systems consisting of heterogeneous sensors for the difficult data association
Keywords :
filtering theory; probability; radar signal processing; radar tracking; sensor fusion; target tracking; 3D Cartesian system; JPDA algorithm; heterogeneous sensors; joint probabilistic data association algorithm; multisensor multitarget tracking; radar; sequential filter; Azimuth; Coordinate measuring machines; Extraterrestrial measurements; Filters; Radar measurements; Radar tracking; Sampling methods; Sensor phenomena and characterization; Sensor systems; Target tracking;
Conference_Titel :
Radar, 1996. Proceedings., CIE International Conference of
Conference_Location :
Beijing
Print_ISBN :
0-7803-2914-7
DOI :
10.1109/ICR.1996.574502
