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We present an extension of an existing outdoor UWB scatterer detection algorithm [1], [2], making it usable for indoor scenarios. The algorithm is extended with the capability to find virtual sources, which can explain reflections from extended, plane surfaces. The extension thus removes the restriction to just single-bounce signal paths. Single-bounce scatterers, as well as virtual sources extracted from the channel impulse response, are assigned to positions in 2-dimensional space and can be matched to given floor plan information. The functionality is demonstrated with indoor measurement data obtained in a large office environment that represents a challenging dense multipath scenario. Results show that estimated locations of virtual sources and scatterers fit very well with the expected locations.

We present a detailed analysis of an indoor UWB channel measurement campaign. The focus is on the modeling of the deterministic part of the multipath channel using a-priori known relevant reflections and scatterers, found from an available floor plan. Our approach uses virtual signal sources, whose locations and visibilities can be calculated using simple ray-launching techniques. The channel analysis steps exploit these results, using an effective multipath cancellation method that introduces virtually no artifacts. We show that the corresponding multipath-components can explain up to 90% of the UWB channel impulse responses in terms of energy capture. This is important for multipath-aided indoor localization, which provides robust position fixes using a single base station only.