Maneuvering Emitter Tracking by a Single Passive Observer Using SRUKF Based IMM Algorithm

Autor:	Zhou Yi-yu, Zhong Dan-xing, Yang Zheng-bin, Guo Fu-cheng
Rok vydání:	2007
Předmět:	Extended Kalman filter Observer (quantum physics) business.industry Computer science Control theory Computer vision Artificial intelligence Observer (special relativity) Kalman filter business Algorithm Common emitter
Zdroj:	2007 International Conference on Wireless Communications, Networking and Mobile Computing.
DOI:	10.1109/wicom.2007.254
Popis:	The interacting multiple model (IMM) algorithm is combined with the square root unscented Kalman filter (SRUKF), and explored to track maneuvering emitter with 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 SRUKF based IMM(SRUKF-IMM) tracker with the traditional extended Kalman filter based IMM (EKF-IMM) tracker. Simulation results reveal that the SRUKF-IMM tracker is more stable and effective.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::090ba580085405c1c13e78b9b56cd5d7 https://doi.org/10.1109/wicom.2007.254 Zobrazit plný text záznamu