Abstract
This paper presents a source localization algorithm based on the source signal's time-difference-of-arrival (TDOA) for asynchronous wireless sensor network. To obtain synchronization among anchors, all anchors broadcast signals periodically, the clock offsets and skews of anchor pairs can be estimated using broadcasting signal's time-of-arrivals (TOA) at anchors. A kalman filter is adopted to improve the accuracy of clock offsets and track the clock drifts due to random fluctuations. Once the source transmits signal, the TOAs at anchors are stamped respectively and source's TDOA error due to clock offset and skew of anchor pair can be mitigated by a compensation operation. Based on a Gaussian noise model, maximum likelihood estimation (MLE) for the source position is obtained. Performance issues are addressed by evaluating the Cramer-Rao lower bound and the selection of broadcasting period. The proposed algorithm is simple and effective, which has close performance with synchronous TDOA algorithm.
Published Version
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
