Distributed Sensor Data Fusion with Transmission Assignment by Error Covariance Matrix

Abstract

Distributed sensor data fusion (DSDF) which generates integrated track from the data of networked and distributed sensors, achieve high track accuracy. One of the issues of DSDF is to achieve both track accuracy and low traffic simultaneously. However, conventional DSDF oversupplies sensor data to network. Therefore we propose new DSDF with transmit assignment. We confirm that the effectiveness to proposed method in view of network traffic and tracking accuracy through computer simulation.