DocumentCode
393780
Title
An analytic approximation of information reduction factor for performance prediction of PDA tracking
Author
Hong, Sun-Mog ; Shin, Han-Seop
Author_Institution
Sch. of Electron. & Electr. Eng., Kyungpook Nat. Univ., Taegu, South Korea
Volume
3
fYear
2002
fDate
5-7 Aug. 2002
Firstpage
1447
Abstract
An analytic approximation of the information reduction factor is presented in an efficient manner for the case of two-dimensional measurement vector and a four sigma validation gate. This analytic approximation allows us to evaluate efficiently performance prediction for the probabilistic data association (PDA) filter using the hybrid conditional average (HYCA) algorithm.
Keywords
Bayes methods; probability; tracking filters; PDA tracking; analytic approximation; hybrid conditional average algorithm; information reduction factor; performance prediction; probabilistic data association filter; two-dimensional measurement vector; Algorithm design and analysis; Approximation algorithms; Electric variables measurement; Filters; Information analysis; Performance analysis; Personal digital assistants; Riccati equations; Target tracking; Volume measurement;
fLanguage
English
Publisher
ieee
Conference_Titel
SICE 2002. Proceedings of the 41st SICE Annual Conference
Print_ISBN
0-7803-7631-5
Type
conf
DOI
10.1109/SICE.2002.1196519
Filename
1196519
Link To Document