Title :
An adaptive multiple model filter using IMM and STF-CS
Author :
You, Mingxing ; Wang, Xuegang ; Jiang, Chaoshu
Author_Institution :
Sch. of Electron. Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
Abstract :
An adaptive multiple model filter using IMM and STF-CS is proposed. STF-CS is presented based on the current statistical model (CS), by introducing a fading factor of Strong Tracking Fitter (STF). This proposed adaptive filter (STF-CS-IMM) combines the advantages of the current statistical model, IMM and STF. It improves the adaptive tracking performance greatly when there is a sudden maneuver, and has the same high precision to track common maneuvering as the current statistical model and non-maneuvering as standard IMM algorithm. Monte Carlo simulation results show the effectiveness of the proposed algorithm.
Keywords :
Monte Carlo methods; adaptive filters; tracking filters; IMM algorithm; Monte Carlo simulation; adaptive filter; adaptive tracking; current statistical model; strong tracking fitter; Educational institutions;
Conference_Titel :
Intelligent Signal Processing and Communication Systems (ISPACS), 2010 International Symposium on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-7369-4
DOI :
10.1109/ISPACS.2010.5704736