Jan Neering

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In order to optimize the estimation of an object's position, this paper proposes a procedure for placing acoustical sensors in 3D space, using passive source localization. A standard performance measure in estimation theory is the Cramer-Rao Lower Bound (CRLB), which describes the lower bound of the variance of unbiased estimators. In the case of passive(More)
Using Youla Parametrization and Linear Matrix Inequalities (LMI) a Multiobjective Robust Control (MRC) design for continuous linear time invariant (LTI) systems with bounded uncertainties is described. The design objectives can be a combination of H<inf>&#x221E;</inf>-, H<inf>2</inf>-performances, constraints on the control signal, etc.. Based on an initial(More)
The performance of acoustic passive source localization based on a multiple sensor system does not only depend on the chosen estimation algorithms, but is also strongly correlated to the geometry of the sensor network and the position of the source. This thesis approaches the optimization of the estimation procedure, by utilizing an optimal microphone(More)
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