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An adaptive interacting multiple model with probabilistic data association filter using variable dimension model

Title
An adaptive interacting multiple model with probabilistic data association filter using variable dimension model
Author
송택렬
Keywords
VDPDA Filter; Bias Estimation; Maneuver Detection; PDA Filter; IMMPDA Filter
Issue Date
2002-08
Publisher
IEEE
Citation
Proceedings of the 41st SICE Annual Conference. SICE 2002., page. 713-718
Abstract
A variable dimension probabilistic data association filter is presented to track a single maneuvering target in the cluttered environment. The detection of the maneuver for the model switching is done by the estimation of the acceleration taken from a bias filter of the two stage Kalman filter. An adaptive interacting multiple model probabilistic data association (IMMPDA) filter is also proposed using the variable dimension probabilistic data association filter as one of the target motion model in the conventional IMMPDA filter. A simple Monte Carlo simulation was done to compare the performance of each of the three algorithms.
URI
https://ieeexplore.ieee.org/document/1195243?arnumber=1195243&SID=EBSCO:edseeehttps://repository.hanyang.ac.kr/handle/20.500.11754/157495
ISBN
0-7803-7631-5
DOI
10.1109/SICE.2002.1195243
Appears in Collections:
COLLEGE OF ENGINEERING SCIENCES[E](공학대학) > ELECTRICAL ENGINEERING(전자공학부) > Articles
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