- Adrian Schad
The goal of this thesis is to investigate two options to increase the robustness of the LS-FIB design. The first option is through the choice of an optimum regularization procedure and the corresponding parameters used for matrix inversions. A comparison between the performance of the respective methods should be carried out. The regularization parameters should be computed for every frequency bin separately. The second option is by incorporating statistical knowledge of the random errors in the design procedure. The random errors are made up of position errors and the mismatch between transducer characteristics. An optimal combination of the two options should also be investigated. The white noise gain (WNG) will be used as a measure of robustness in all cases.
The simulation results should be verified experimentally by utilizing real microphone arrays.
Prerequisites: Matlab, interest in numerics