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
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);
Conference_Titel :
Computational Intelligence and Design (ISCID), 2012 Fifth International Symposium on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4673-2646-9
DOI :
10.1109/ISCID.2012.68
