DocumentCode
2871822
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
fYear
1996
fDate
8-10 Oct 1996
Firstpage
475
Lastpage
479
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Radar, 1996. Proceedings., CIE International Conference of
Conference_Location
Beijing
Print_ISBN
0-7803-2914-7
Type
conf
DOI
10.1109/ICR.1996.574502
Filename
574502
Link To Document