Performance bounds and identifiability conditions for location estimation in NLoS dynamic environments

The non-trivial problem of Non-Line-of-Sight localization can be attacked with the aid of geometrical channel and mobility models. This approach results in high performance algorithms but requires a combination of different sources of information, like e.g. angles, delays and Doppler shifts. In this contribution we demonstrate the high performance of such methods even in poor scattering environments. On top of that, we compare the algorithms for different scenarios and highlight the superiority of algorithms designed for channels that change dynamically due to the movement of the mobile terminal.