DocumentCode :
2869413
Title :
Iterated joint probabilistic data association
Author :
Ziqian, Zhu
Author_Institution :
China Leihua Electron. Technol. Res. Inst., China
fYear :
1996
fDate :
8-10 Oct 1996
Firstpage :
434
Lastpage :
438
Abstract :
Some probabilistic data association methods, which have been published in recent years, are equivalent to appropriate networks in the paper. According to the property and the feature of JPDA network structure, a fast, compact and effective data association is presented. The data association performance of the new comparing with other probabilistic data association methods. Making use of the new method and a new adapative Kalman filter presented by Zhu Ziqian (1992), a MTT system is developed and is simulated with several groups typical multitarget motion trajectory in an airborne radar MTT system
Keywords :
adaptive Kalman filters; adaptive signal processing; airborne radar; filtering theory; iterative methods; probability; radar signal processing; radar tracking; JPDA network structure; MTT system; adapative Kalman filter; airborne radar; data association performance; iterated joint probabilistic data association; multitarget motion trajectory; multitarget tracking technique; simulation; Appropriate technology; Clutter; Computer networks; Filters; Neural networks; Paper technology; Personal digital assistants; Probability; Radar tracking; 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.1996.574488
Filename :
574488
Link To Document :
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