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