Affiliation:
1. Institute of Information Fusion Naval Aeronautical and Astronautical University
2. Library of Naval Aeronautical and Astronautical University
Abstract
To address the problem of data non-synchronization to multi-radar, a new time registration approach is presented in this paper, in which the data is synchronized using Kalman based Newton interpolation (KNI). In this work, a preliminary alignment is firstly implemented with Newton interpolation, providing a dummy measurement at each time step. Secondly, the Kalman filter is followed, in which the measurement innovation is generated by the dummy measurement. And within the framework of Kalman filter (KF), the data is synchronized into the datum step. Thus, using the most of recent measurements, this new proposed method can realize the synchronization of multi-radar data and as a result, improve the performance of data fusion and target association. An application example is given to draw a comparison between this new algorithm and the existing algorithm. The simulation results show the efficiency of this algorithm.
Publisher
Trans Tech Publications, Ltd.
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