Title :
Distributed multirate interacting multiple model fusion (DMRIMMF) with application to out-of-sequence GMTI data
Author :
Hong, Lang ; Cong, Shan ; Wicker, Devert
Author_Institution :
Dept. of Electr. Eng., Wright State Univ., Dayton, OH, USA
Abstract :
This note develops a distributed approach for fusing ground moving target indicator data with out-of-sequence (OOS) measurements. A multirate interacting multiple model (MRIMM) fusion algorithm is developed for effectively fusing multirate information. The multirate approach provides an excellent framework for efficient information retrodiction and forward update. A multirate interacting multiple model filter is employed locally to track a target with or without maneuvering behavior. The combination of global MRIMM fusion and local MRIMM tracking proves to be powerful for tracking and fusing maneuvering and nonmaneuvering targets in an environment of OOS measurement reporting.
Keywords :
filtering theory; military radar; radar signal processing; radar tracking; search radar; sensor fusion; target tracking; tracking filters; distributed multirate interacting multiple model fusion; ground moving target indicator; maneuvering fusion; multirate information fusion; multirate interacting multiple model filter; nonmaneuvering targets; out-of-sequence measurements; target tracking; Delay effects; Filtering algorithms; Force sensors; Laboratories; Radar measurements; Radar tracking; Surveillance; Target recognition; Target tracking; Time measurement;
Journal_Title :
Automatic Control, IEEE Transactions on
DOI :
10.1109/TAC.2003.821410