DocumentCode :
2191277
Title :
A Cloud Model Inference System Based Alpha-Beta Filter for Tracking of Maneuvering Target
Author :
Jianjun, Huang ; Jiali, Zhong ; Pengfei, Li
Author_Institution :
ATR Key Lab., Shenzhen Univ., Shenzhen, China
fYear :
2010
fDate :
2-4 April 2010
Firstpage :
221
Lastpage :
225
Abstract :
An adaptive alpha-beta filter based on cloud model inference is presented for maneuvering target tracking. The proposed tracker incorporates cloud model in a conventional alpha-beta filter by using the rule bank based on cloud model, which utilizes the residue error and the change of residue error in the last prediction to determine the values of alpha and beta, then track the maneuverable target accurately. The experiment results show that the algorithm is satisfactory and effective.
Keywords :
Internet; inference mechanisms; target tracking; adaptive alpha-beta filter; cloud model inference system; maneuvering target tracking; residue error; Adaptive filters; Clouds; Electronic mail; Fuzzy logic; Inference algorithms; Information filtering; Information filters; Predictive models; Statistical analysis; Target tracking; alpha-beta filter; cloud mode inference; maneuvering target tracking;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Information Technology and Security Informatics (IITSI), 2010 Third International Symposium on
Conference_Location :
Jinggangshan
Print_ISBN :
978-1-4244-6730-3
Electronic_ISBN :
978-1-4244-6743-3
Type :
conf
DOI :
10.1109/IITSI.2010.119
Filename :
5453567
Link To Document :
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