Title :
Distributed data fusion with data T/R control for target tracking
Author :
Matsuzaki, Takashi ; Kameda, Hiroshi
Author_Institution :
Inf. Technol. R&D Center, Mitsubishi Electr. Corp., Kamakura, Japan
Abstract :
Data fusion which uses observations from networked plural sensor and generates an integrated track achieves wide surveillance area and a high accurate track by minimizing error ellipse based on error covariance matrix. There are two issues in data fusion. One is an architecture issue whether centralized data fusion (CDF) or distributed data fusion (DDF). The other is a transmitting issue that is when and how to transmit the data to network. In view of invulnerability, we study the improvement of DDF. One solution against these issues is our proposal method which is called DDF-TRC (Distributed Data Fusion with data T/R Control). As a result, we confirm that the effectiveness of proposed DDF-TRC in view of tracking accuracy and traffic through computer simulation.
Keywords :
covariance matrices; digital simulation; sensor fusion; target tracking; CDF; DDF-TRC; centralized data fusion; computer simulation; distributed data fusion with data TR control; error covariance matrix; error ellipse; integrated track; networked plural sensor; target tracking; Accuracy; Covariance matrix; Eigenvalues and eigenfunctions; Radar tracking; Target tracking; Vectors; Data fusion; Distributed; Kalman Filter; Network; Radar; Sensor; Target Tracking; Tracklet; Traffic;
Conference_Titel :
SICE Annual Conference (SICE), 2012 Proceedings of
Conference_Location :
Akita
Print_ISBN :
978-1-4673-2259-1