Comparison of three post-processing methods for acoustic localization

摘要

Recently, the need of monitoring parking places, airports, and harbours has increased. Microwaves, infrared based techniques, vision, or acoustics are the key techniques but each of them requires a specific kind of postprocessing. Far field target localization methods based on Angle Of Arrival (AOA) often neglect the possibility of erroneous angle observations. Three different methods for increasing the accuracy of cross fixing based localization are compared. Average of the AOAs is easily corrupted by outliers, "m out of k"-selection of AOAs suffers from loss of data. Signal energy based target location circle is used to validate the cross fixing result, thus improving reliability. The energies of averaged target signals from two arrays are used to calculate a circle on which the target resides. Distance from the cross fixed location to the circle is used to validate the location. Experiments are carried out with simulated and real data.