DocumentCode
2896419
Title
The Tracking Algorithms for Non-maneuvering Target and Maneuvering Target
Author
Yikang Yang ; Tanglin Xie ; Xue Li ; Yi Lu
Author_Institution
Inst. of Astronaut. & Aeronaut., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
Volume
1
fYear
2012
fDate
28-29 Oct. 2012
Firstpage
242
Lastpage
245
Abstract
The most commonly used methods of target tracking in the linear system is Least Square Filtering, Kalman filtering and Interacting Multiple Model(IMM). in this article, we use Least Square Algorithm and the Interacting Multiple Model (IMM) to study the tracking of non-maneuvering target and maneuvering target. then compare to several algorithms, and deduces the advantage and disadvantage of each algorithm.
Keywords
Kalman filters; least squares approximations; linear systems; target tracking; IMM; Kalman filtering; interacting multiple model; least square algorithm; least square filtering; linear system; maneuvering target tracking algorithm; nonmaneuvering target tracking algorithm; Filtering algorithms; Kalman filters; Mathematical model; Predictive models; Target tracking; Least Square Algorithm; alman filtering; maneuvering target; non-maneuvering target; nteracting Multiple Model (IMM);
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence and Design (ISCID), 2012 Fifth International Symposium on
Conference_Location
Hangzhou
Print_ISBN
978-1-4673-2646-9
Type
conf
DOI
10.1109/ISCID.2012.68
Filename
6406963
Link To Document