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by B. Rozovskii, A. Tartakovsky, G. Yaralov
http://www.usc.edu/dept/LAS/CAMS/usr/facmemb/tartakov/fusionpaper.ps
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Abstract:
Abstract- The primary goal of this paper is to develop an approach to fusion of two streams of data-imaging and kinematic- for optimization of target identification. Specifically, we focus on the fusion of rangeprofile data (obtained from a high range resolution sensor) and kinematic information for observation-to-track assignment and target recognition. A more reliable target identification is possible due to the strong correlation between kinematic characteristics and range profile. Indeed, the range profile signal depends on the range to the target and its aspect angle, while the latter is related to the target velocity (via Euler's equation), thus yielding a strong correlation of both types of data with the aspect angle. Effective estimation of the aspect angle is therefore the key to successful target identification. The
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