Threshold Selection for 60 GHz TOA Estimation Based on Skewness and Kurtosis Analysis

Because of the high sampling rate, coherent Time of Arrival (TOA) estimation algorithms are not practical for low cost, low complexity 60 GHz systems. In this paper, energy detect (ED) based non-coherent TOA estimation algorithm is presented. The expected values of the skewness and kurtosis with respect to the signal to noise ratio (SNR) are investigated. It is shown that the ratio of kurtosis and skewness is more suitable for TOA estimation. To improve the precision of TOA estimation, a new threshold selection algorithm is proposed which is based on the ratio of kurtosis and skewness analysis. The best threshold values for different SNRs are investigated and the effects of integration period and channel modes are examined. Comparisons with other ED based algorithms show that in CM1.1 and CM2.1 channels, the proposed algorithm provides higher precision and robustness in both high and low SNR environments.