Maneuvering emitter tracking by a single observer using IMM algorithm based on unscented transformation

Autor:	Zhou Yi-yu, Xie Kai, Guo Fu-cheng, Yang Zheng-bin
Rok vydání:	2006
Předmět:	Extended Kalman filter Engineering business.industry Control theory Estimator Fast Kalman filter Kalman filter Unscented transform Observer (special relativity) business Alpha beta filter Algorithm Invariant extended Kalman filter
Zdroj:	2006 CIE International Conference on Radar.
DOI:	10.1109/icr.2006.343461
Popis:	The unscented transformation (UT) based interacting multiple model (IMM) algorithm is explored to handle maneuvering emitter tracking by a single passive observer, which processes Doppler frequency changing rate and angle measurements concurrently, thus the observer maneuver is not required. Computer simulations are performed to compare the unscented kalman filter-interacting multiple model (UKF-IMM) estimator with the traditional extended kalman filter-interacting multiple model (EKF-IMM) estimator. Simulation results reveal that the UKF-IMM estimator is more stable and effective.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::29c246d1d345a2e99829e14b6d696604 https://doi.org/10.1109/icr.2006.343461 Zobrazit plný text záznamu