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Multiple sensor Bayesian extended target tracking fusion approaches using random matrices
The tracking of extended targets is attracting a growing literature thanks to the high resolution of several modern radar systems. A fully Bayesian solution has been proposed in the random matrix framework. In this paper, ...
Converted measurements Bayesian extended target tracking applied to X-band marine radar data
X-band marine radar systems are flexible and low-cost tools for monitoring multiple targets in a surveillance area. They can provide high resolution measurements both in space and time. Such features offer the opportunity ...
Multiple sensor measurement updates for the extended target tracking random matrix model
In this paper, multiple sensor measurement update is studied for a random matrix model. Four different updates are presented and evaluated: three updates based on parametric approximations of the extended target state ...
Multiple Bayesian extended target tracking
To track an extended target presents challenges because the hypothesis of "one target means one detection" is not valid. Several approaches to extended target tracking (ETT) have been found promising, and in particular ...
Converted measurements random matrix approach to extended target tracking using X-band marine radar data
Conventional tracking algorithms rely upon the hypothesis of one detection per target for each frame. However, very fine spatial resolution radars represent widespread systems that provide data for which this hypothesis ...