DocumentCode :
691272
Title :
Objective Grey Prediction Filtering Algorithm Based on Combined Model
Author :
Yang Pu ; Ni Jiangfan ; Li Xiao
Author_Institution :
Nanjing Univ. of Aeronaut. & Astronaut., Nanjing, China
fYear :
2013
fDate :
21-23 Sept. 2013
Firstpage :
1721
Lastpage :
1725
Abstract :
Aimed at the problems of delay and uncertain disturbance of the target miss distance signal of optical tracking system, this paper put forward an objective grey prediction filtering algorithm based on combined model. According to gray forecast theory, we establish the grey forecasting model of the target signal directly, based on the analysis of traditional GM(1, 1) model, we has improved it, and combine it with time series method to establish residual error model of objective grey prediction, so as to constitute combined model, improve the target prediction accuracy effectively. Finally, by doing experiments about comparing the simulated target and actual target, it can be concluded that target prediction filtering method which we proposed is feasible and effective.
Keywords :
filtering theory; grey systems; optical tracking; queueing theory; target tracking; GM(1,1) model; combined model; gray forecast theory; objective grey prediction filtering algorithm; optical tracking system; residual error model; target miss distance signal; Accuracy; Analytical models; Data models; Mathematical model; Prediction algorithms; Predictive models; Target tracking; gray forecast theory; optical tracking system; traditional GM model;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Instrumentation, Measurement, Computer, Communication and Control (IMCCC), 2013 Third International Conference on
Conference_Location :
Shenyang
Type :
conf
DOI :
10.1109/IMCCC.2013.380
Filename :
6840770
Link To Document :
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