Martina Daun

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— Multistatic active sonar has become an important surveillance concept. To fully exploit its benefits in a real-time and realistic scenario, a multihypotheses tracking (MHT) algorithm is proposed which as a extension from standard approaches allows high precision state estimation, treatment of multiple different types of sonar signals and allows adaptation(More)
Target tracking from non-invertible measurement sets, for example, incomplete spherical coordinates measured by asynchronous sensors in a sensor network, is a task of data fusion present in a lot of applications. Difficulties in tracking using extended Kalman filters lead to unstable behavior, mainly caused by poor initialization. Instead of using high(More)
— Target tracking from incomplete measurements of distinct sensors in a sensor network is a task of data fusion, present in a lot of applications. Difficulties in tracking using Extended Kalman filters lead to unstable behavior, mainly caused by difficult initialization. Instead of using numerical batch-estimators, we offer an analytical approach to(More)
—In active sonar, low measurement rates of up to several minutes are commonly used. Thus, strong manoeuvres may occur between two measurements. To assure high-quality tracking, target dynamics have to be modelled precisely. In this paper, a variant of the Nearly Constant Velocity model is presented with deviations modelled according to the assumption that(More)
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