Smartly Time of Arrival Interpretation in the Wide Band Ranging System

In the field of sensor networks, impulse radio 60 GHz wide band signals which is even much more practical for ranging and localization systems due to high time and multipath resolution. Typically, the 60GHz accurate ranging estimation is very important. In order to improve the precision of the ranging, a new threshold selection algorithm using neural network (NN) is proposed which is based on a joint metric of the skewness, kurtosis and standard deviation after energy detector (ED). Simulation results are presented which show the proposed NN algorithm provides better precision and robustness in both high and low SNR environments than other ED-based algorithms in the IEEE 802.15.3c channel models.