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
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;
Conference_Titel :
SICE 2002. Proceedings of the 41st SICE Annual Conference
Print_ISBN :
0-7803-7631-5
DOI :
10.1109/SICE.2002.1196519