Localization in nonline-of-sight environments for wireless sensor networks

In this paper we present a ranging algorithm for indoor quasistatic sensor environments based on statistical modeling of the multipath channel. Based on the noise and LOS characterization from this model, we use multiple returns (or signal receptions) at each sensor node to accurately estimate the position of the direct path or line-of-sight (LOS) component in the received multipath signal. This provides range estimates with submeter accuracy. Furthermore, the associated ranging error does not increase with increase in the transmitter-receiver range.