A Novel First Arriving Path Detection Algorithm Using Multipath Interference Cancellation in Indoor Environments

We propose a first arriving path (FAP) detection algorithm using multipath interference cancellation techniques for indoor positioning systems. In indoor environments, the FAP is very often less significant in magnitude as compared with later arriving paths (LAPs) and therefore the received signal component of FAP is severely interfered by those of LAPs. As a result, it is difficult to identify the FAP in the presence of strong LAPs in indoor environments. In the proposed algorithm, we reconstruct the interference of LAPs based on channel estimation and data detection results. The interference of LAPs is subsequently reconstructed and cancelled from the received signals to improve the accuracy of FAP detection. Simulation results are provided to verify the performance of the proposed algorithm.