DocumentCode :
3003512
Title :
Improved Adaptive Grid IMM Algorithm with Variable Sampling Period
Author :
Lu, Jing ; Xu, Zhao-Yang
Author_Institution :
Sch. of Electron. Inf., Jiangsu Univ. of Sci. & Technol., Zhenjiang, China
fYear :
2010
fDate :
29-31 Oct. 2010
Firstpage :
1
Lastpage :
4
Abstract :
A new adaptive grid interacting multiple models (AGIMM) algorithm based on the turning model is proposed.The algorithm gives the sampling period next moment for filtering,using the angular rate of the center model.The center model parameter will be updated again after the left and right model parameters´ renewal.Then the renewal parameters will be introduced into measurement noise covariance.At last, simulation comparison of the improved AGIMM and the traditional AGIMM and the fixed sampling period AGIMM is presented.The result shows that the improved algorithm can better inhibit error, and has a better filtering effect.
Keywords :
filtering theory; signal sampling; target tracking; adaptive grid IMM algorithm; adaptive grid interacting multiple models algorithm; center model angular rate; filtering; measurement noise covariance; renewal parameters; turning model; variable sampling period; Adaptation model; Azimuth; Filtering; State estimation; Target tracking; Trajectory;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Multimedia Technology (ICMT), 2010 International Conference on
Conference_Location :
Ningbo
Print_ISBN :
978-1-4244-7871-2
Type :
conf
DOI :
10.1109/ICMULT.2010.5631058
Filename :
5631058
Link To Document :
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