CSI-based Indoor Localization Error Bound Considering Pedestrian Motion

摘要

Compared with the Wi-Fi Received Signal Strength (RSS), which is commonly used for indoor pedestrian motion detection and localization, the Channel State Information (CSI) can be used to achieve higher localization accuracy since it contains the finer-grained physical-layer information. Due to the lack of theoretical analysis towards the indoor localization error bound based on the CSI considering the pedestrian motion, it is difficult to evaluate the performance of the existing indoor localization methods when pedestrians are moving. In this case, this paper proposes the Cramer-Rao Lower Bound (CRLB) concept to establish the indoor localization error bound considering the pedestrian motion that depends on the constructed signal propagation model and the environment and device factors. We also analyze the impact of the asynchronous effect to the proposed error bound. The comprehensive simulation validate the proposed theoretical analysis.