Optimal track fusion and tracklet techniques for target tracking and sensor alignment

Gregory A. Watson; Theodore R. Rice; Robert J. Jesionowski; Ray V. Cassell

doi:10.1117/12.391672

7 July 2000 Optimal track fusion and tracklet techniques for target tracking and sensor alignment

Gregory A. Watson, Theodore R. Rice, Robert J. Jesionowski, Ray V. Cassell

Proceedings Volume 4025, Acquisition, Tracking, and Pointing XIV; (2000) https://doi.org/10.1117/12.391672
Event: AeroSense 2000, 2000, Orlando, FL, United States

Abstract

the integration of multiple sensors for the purpose of forming a Single Integrated Air Picture (SIAP) is currently being intensely investigated. There are only a few existing techniques that enable SIAP development. Assuming there are no sensor biases and communication latencies, the ideal picture can be formed when all the sensor information is available at each network node. The target state vectors for each picture are identical when they are generated using the same time-ordered data and algorithms. However, this is impractical in a tactical environment and several techniques, such as conventional filtering, optimal track and hybrid fusion, and tracklets, have been proposed to form the SIAP with a reduced amount of data. A combination of techniques will be needed since no single one has the ability to adequately form the picture. The estimation techniques can also be employed to perform sensor alignment. Alignment is the foundation by which the SIAP can be constructed. This paper presents track fusion and tracklet techniques for the purpose of performing target tracking and sensor alignment. Simulation results will be used to illustrate the performance of the estimation techniques.

Citation Download Citation

Gregory A. Watson, Theodore R. Rice, Robert J. Jesionowski, and Ray V. Cassell "Optimal track fusion and tracklet techniques for target tracking and sensor alignment", Proc. SPIE 4025, Acquisition, Tracking, and Pointing XIV, (7 July 2000); https://doi.org/10.1117/12.391672

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