Threshold Selection for TOA Estimation Based on Skewness and Kurtosis in 60GHz Ranging System

Accurate localization has gained significant interests in the field of ranging, locating and tracking systems. Impulse Radio (IR) 60GHz signal is practically operated in the literature, because of its high resolution of time and multipath. In order to improve the precision of the Time of Arrival (TOA) estimation, a threshold selection algorithm based on a joint metric of the skewness and kurtosis after energy detection is proposed in this paper. In addition, the optimal normalized threshold based on signal-to-noise ratio (SNR) is investigated, and the effects of integration period as well as channel model are validated. Then the performance under IEEE 802.15.3c Line of Sight (LOS) and None Line of Sight (NLOS) channel models is evaluated respectively. The results show that the proposed threshold selection algorithm is able to provide higher precision and robustness for TOA estimation over a long range of SNR in the 60GHz ranging system.