Distributed data fusion with data T/R control for target tracking
Takashi Matsuzaki, Hiroshi Kameda · Society of Instrument and Control Engineers of Japan · 2012
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.