Martina Daun

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Activated reconnaissance systems based on target illumination are of high importance for surveillance tasks where targets are nonemitting. Multistatic configurations, where multiple illuminators andmultiple receivers are located separately, are of particular interest. The fusion of measurements is a prerequisite for extracting and maintaining target tracks.(More)
Digital audio/video broadcasting (DAB/DVB-T) is already available in a large area of Europe. The advantage of using these signals for passive air surveillance is the disposability of a large range of illuminators sending an easily decodeable digital broadcast signal. In the considered multi-static scenario, one observer provides bistatic Time Difference of(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)
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)
An active sonar system consists of a sound source activating a surveillance area and a receiver listening for echoes reflected from targets. In a bistatic setup, the source and the receiver are not collocated. The resulting measurement model is described by a non-linear function of the target state, the given bistatic geometry and environmental parameters.(More)
This paper describes the approximation of a nonlinear posterior density by a Gaussian Mixture (GM). The GM is used to initialize a bank of Kalman filters. For each Gaussian term, a Kalman filter is started. The basic conditions and the quality of the approximation are discussed. Examples from different tracking applications, the multistatic tracking and(More)
Multistatic Sonar Systems (MSS) based on manned or stationary systems provides necessary performance for Anti Submarine Warfare (ASW) surveillance operations. Sufficiently accurate sensor models are implemented in data fusion algorithms in order to exploit the added-value of the multiple aspects on the target. The logical follow-on is to use them to control(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)