Adaptive time-delay estimation based on normalized maximum correntropy criterion for near-field electromagnetic ranging

摘要

Indoor location systems can track objects using near-field electromagnetic ranging technology (NFER). However, the ranging error can be large because the phase difference between the electronic and magnetic fields cannot be measured directly. This study proposes a method that adopts an adaptive time-delay estimation algorithm based on a normalized maximum correntropy criterion (NMCC-ATDE) instead of exploiting the phase behavior of the electromagnetic signal for near-field ranging. In the NMCC-ATDE algorithm, the input signal is normalized to mitigate any sudden increase in the input signal. As our simulation results reveal, compared to the algorithms based on maximum correntropy criterion and normalized least mean square, the NMCC-ATDE algorithm can estimate the time delay in real time with a fast convergence rate and small steady-state error. (C) 2017 Elsevier Ltd. All rights reserved.