6 accepted papers
Using time-difference-of-arrival (TDOA) measurements from several sensors to locate a target is one of the most widely used wireless localization methods. A challenge for TDOA localization is that the measurement equations are highly nonlinear. The weighted least-squares (WLS) based method tends to…
A recent research on a fixed point iteration (FPI) algorithm for elliptic localization has shown tremendous promise in terms of reduced implementation complexity than existing algorithms without sacrificing performance [1]. However, no theoretical analysis was provided in this study. In this article…
This paper develops a simple and efficient method for source localization using signal time-of-arrival (TOA) measurements. There exist many TOA localization algorithms, most of which require matrix inversions. Their complexity often makes them unsuitable for cases when a large number of sources need…
This paper investigates time-of-arrival (TOA) source node self-positioning with unknown clock skews in wireless sensor networks. For the source-to-anchor direction, source node clock skew does not affect the localization performance. When synchronized anchor nodes simultaneously transmit signals to…
The most state-of-art time-difference-of-arrival (TDOA) localization algorithms are performed under the assumption that all the nodes are synchronized. However, for a widely distributed wireless sensor networks (WSNs), time synchronization between all the nodes is not a trival problem. In this paper…
In this paper, we consider using time-of-arrival (TOA) measurements from single moving receiver to locate a stationary source which emits periodical signal. First, we give the TOA measurements model and deduce the Cramér-Rao lower bounds (CRLB). Then, we formulated the maximum likelihood estimation…