Title :
Improved motion-mode estimation
Author :
Sworder, David D. ; Boyd, John E.
Author_Institution :
Dept. of Electr. & Comput. Eng., California Univ., San Diego, CA, USA
fDate :
7/1/2005 12:00:00 AM
Abstract :
Hybrid trackers incorporating a non-Markov modal model have been proposed. However, these algorithms use a restricted measurement set to identify the modal state. It is shown here that a renewal process model, along with broader measurement fusion, enhances modal classification in such estimators.
Keywords :
motion estimation; sensor fusion; state estimation; target tracking; hybrid trackers; measurement fusion; modal classification; modal state; motion-mode estimation; nonMarkov modal model; renewal process model; restricted measurement set; Acceleration; Aggregates; Extrapolation; Indexing; Kinematics; Motion estimation; Nonlinear equations; Sensor phenomena and characterization; Target tracking; White noise;
Journal_Title :
Aerospace and Electronic Systems, IEEE Transactions on
DOI :
10.1109/TAES.2005.1541449
