Title :
An exponentially weighted probabilistic data association filter
Author :
Mayor, Marco A. ; Carroll, Robert
Author_Institution :
IBM Corp., Gaithersburg, MD, USA
Abstract :
An exponentially weighted probabilistic data association filter is presented as a method for tracking maneuvering targets in cluttered environments. The algorithm exhibits the capability to track targets that are rapidly maneuvering in low-to-medium clutter densities. Simulation results have shown good tracking performance for target maneuvers on the order of 10 g and false alarm rates between 0 and 0.5
Keywords :
filtering and prediction theory; probability; radar clutter; tracking; cluttered environments; exponentially weighted probabilistic data association filter; false alarm rates; maneuvering target tracking; Density measurement; Filters; History; Noise measurement; Nonlinear equations; Personal digital assistants; Radar tracking; Target tracking; Time measurement; Vectors;
Conference_Titel :
Control Applications, 1992., First IEEE Conference on
Conference_Location :
Dayton, OH
Print_ISBN :
0-7803-0047-5
DOI :
10.1109/CCA.1992.269729
