Title :
Out-of-sequence measurements update using the information filter with reduced data storage
Author :
Tae Han Kim ; Taek Lyul Song ; Musicki, Darko
Author_Institution :
Dept. of Electron. Syst. Eng., Hanyang Univ., Ansan, South Korea
Abstract :
In target tracking/fusion applications, the measurements often do not become available in the order of measurement times. The Out of Sequence Measurements (OOSMs) are used to update state estimate for the “current” time, using measurements with previous measurement times. We propose Information filter based OOSM update solution, which propagate forward the OOSMs Information filter state. This allows tradeoffs between estimation performance and storage requirements.
Keywords :
Kalman filters; information filters; sensor fusion; state estimation; storage management; target tracking; Kalman filter; OOSM update solution; information filter; out-of-sequence measurement update; reduced data storage; state estimate update; target tracking-fusion applications; Covariance matrices; Current measurement; Information filters; Kalman filters; Noise; Noise measurement; Time measurement; Estimation; Information Filter; Information Fusion; OOSM;
Conference_Titel :
Sensor Data Fusion: Trends, Solutions, Applications (SDF), 2014
Conference_Location :
Bonn
DOI :
10.1109/SDF.2014.6954714
