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Target tracking with very long range is studied in this paper. Such tracking problem has severe measurement nonlinearity that will cause consistency problems and large tracking errors. Gaussian mixture measurements are obtained by dividing the measurement likelihood into several Gaussian components. The Gaussian Mixture Measurement-Integrated Track Splitting (GMM-ITS) is applied to very long range...
Target tracking algorithms usually treat the probability of detection as independent of the target state. In most cases, this assumption is not true, with subsequent degradation in the target tracking performance from both expected and optimal levels. One typical example is the Doppler frequency based clutter rejection, the other is obfuscation (shadowing) of ground based targets, and the third is...
Multistatic tracking involves using non-collocated transmitters and receivers to track the targets. In this paper we also assume no angle information. This paper proposes an approach using Gaussian Mixture representation of measurement uncertainty. An arbitrary number of receivers can be used using this approach. Here we limit ourselves to the track estimation issues, i.e. we assume no clutter measurement,...
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