Source Localization and Room Mapping Using Information Derived from Independent Component Analysis

摘要

Convolutive independent component analysis (ICA) algorithms, which have proven capable at separating convolutively mixed signals, can also provide information about the geometry of the setting. This geometry includes source location information and wall locations (room shape). From the multi-input/multi-output impulse responses learned from convolutive ICA, peaks indicating direct path or reflection delays are extracted. The location of sensors (or sources) is obtained using hyperbolic geometry based on direct path time delays. Delays from reflected paths learned from the impulses responses correspond geometrically to ellipses that are tangent at the reflecting point. Ellipse tangent directions are clustered to determine wall locations. Following a summary of the method, experiments are presented on actual room measurements.