Optimal track fusion with feedback for multiple asynchronous measurements

An analytic solution for the fusion of track estimates produced from two asynchronous measurements has been recently developed. The fusion process can occur at any time in the interval between the arrival of the second measurement of a fusion interval and the first measurement of the next fusion interval. The solution was stipulated to be a weighted sum of the previous fused estimate and the two individual estimates. The matrix weights are the unknowns for which a solution was formulated. This fusion process has properties that are identical to the Kalman filter. Even though this technique is a breakthrough, it is restricted to the fusion of only two estimates. The objective of this paper is to provide a numeric solution to this track fusion problem with an arbitrary number of asynchronous measurements. Simulation results will be employed to compare the performance of the Kalman filter and the track fusion algorithm in a multisensor environment.

[1]  Ali T. Alouani,et al.  On optimal synchronous and asynchronous track fusion , 1998 .

[2]  Oliver E. Drummond,et al.  Track fusion with feedback , 1996, Defense, Security, and Sensing.

[3]  Y. Bar-Shalom.  On the track-to-track correlation problem , 1981 .

[4]  Gabriel Frenkel,et al.  Multisensor tracking of ballistic targets , 1995, Optics & Photonics.

[5]  W. Dale Blair,et al.  Tracking maneuvering targets with multiple sensors using the interacting multiple model algorithm , 1993, Defense, Security, and Sensing.

[6]  Ali T. Alouani,et al.  On optimal asynchronous track fusion , 1996, Proceeding of 1st Australian Data Fusion Symposium.

[7]  G. A. Watson.  Multisensor ESA resource management , 1998, 1998 IEEE Aerospace Conference Proceedings (Cat. No.98TH8339).

[8]  Theodore R. Rice,et al.  Multisensor multisite integration for composite tracking of maneuvering targets , 1998, Defense, Security, and Sensing.

[9]  Yaakov Bar-Shalom,et al.  The Effect of the Common Process Noise on the Two-Sensor Fused-Track Covariance , 1986, IEEE Transactions on Aerospace and Electronic Systems.

[10]  Theodore R. Rice,et al.  Multisensor-multisite composite tracking in the presence of sensor residual bias , 1999, Optics & Photonics.

[11]  Yunmin Zhu.  Best Linear Unbiased Estimation Fusion , 1999 .

[12]  T. Kirubarajan,et al.  Adaptive beam pointing control of a phased array radar in the presence of ECM and false alarms using IMMPDAF , 1995, Proceedings of 1995 American Control Conference - ACC'95.