An Improved FastIMM Algorithm Based on Fading Memory Filter Model
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Yayıncı
IEEE
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
In this study, a novel target tracking algorithm is proposed with a better tracking performance for the case where the measurement noise and target arrange are high and target maneuvers are intense. The proposed FastIMM-FM algorithm has been shown to have a better position estimation than the FastIMM algorithm and the FastIMM-imp algorithm. Also, FastIMM-FM algorithm has less computational cost than the other two algorithms.
Açıklama
27th Signal Processing and Communications Applications Conference (SIU) -- APR 24-26, 2019 -- Sivas Cumhuriyet Univ, Sivas, TURKEY
Anahtar Kelimeler
Target tracking, Interacting Multiple Model, Alpha-Beta Filter, Alpha-Beta-Gamma Filter
Kaynak
2019 27th Signal Processing and Communications Applications Conference (Siu)








