This paper addresses simple algorithms for pedestrian localization based on the measurements from distributed wireless sensor networks (WSNs). It appears to be quite difficult to install a set of hardware sensors onto a human body; thus, traditional navigation sensors such as the inertial measurement unit cannot be employed for human tracking in a practical point of view. Recently, to minimize hardware installation onto the human body, WSNs have been actively investigated. However, there is a critical problem in WSNs associated with the measurement noises and signal disturbances. In this paper, we establish very simple localization algorithms that can reduce the noise effects as well as disturbances without apriori knowledge of them. Through actual experimental tests, the validity of the proposed methods is demonstrated.