Abstract
In this paper, a novel threshold selection algorithm for the 60GHz TOA (time of arrival) estimation is proposed. It exploits the skewness, kurtosis, standard deviation and curl of the received (Energy Detector) ED based samples. The best threshold values for different signal to noise ratio (SNR) are investigated via simulations. The proposed ED based technique has low complexity, sampling rate requirements, and high accuracy compared with other ED based algorithms.
