Fusion of tri-dimensional surveillance radar data

The paper deals with the problem of impact point prediction of ballistic targets (BT) by processing measurements acquired by two 3D surveillance radars. It is assumed that the radars acquire a limited number of measurements that do not encompass the whole target trajectory; thus the established target track has to be extrapolated ahead in time in order to predict the coordinates of the impact point. The updating and testing of the data extractor (DE) of a notional tri-dimensional surveillance radar system is presented in this paper; the modified hardware and software is capable of acquiring, managing and fusing tracks pertaining to the radar system housing the DE and to other systems connected to the DE itself

[1]  B. Ristic,et al.  CRLB with Pd<1 fused tracks , 2005, 2005 7th International Conference on Information Fusion.

[2]  S. Immediata,et al.  Detection and tracking of ballistic target , 2004, Proceedings of the 2004 IEEE Radar Conference (IEEE Cat. No.04CH37509).

[3]  Alfonso Farina,et al.  Accuracy of fused track for radar systems , 2005, Signal Process..

[4]  S. Immediata,et al.  Comparison of recursive and batch processing for impact point prediction of ballistic targets , 2005, IEEE International Radar Conference, 2005..

[5]  A. Farina,et al.  CRLB with pd<1 for bearings only fused tracks , 2003, Sixth International Conference of Information Fusion, 2003. Proceedings of the.

[6]  A. Farina,et al.  Tracking a ballistic target: comparison of several nonlinear filters , 2002 .