  In this paper a novel NLOS (Non-Line-of-Sight) identification technique is
proposed. In comparison to other methods described in the literature, it
discerns a situation when the delayed direct path component is available from
when it's totally blocked and introduced biases are much higher and harder to
mitigate. In the method, NLOS identification is performed using Support Vector
Machine (SVM) algorithm based on various signal features. The paper includes
description of the method and the results of performed experiment.
