Localization is a commonly accepted feature in today?s wireless networks. However, the availability of location information is bound to the use of specific hardware components (e.g. GPS receivers or UWB ranging devices), which are prohibitive on low-cost wireless communication hardware.
Efforts to close this gap have lead to research activities on time-based localization in asynchronous wireless networks, which triggered the field of simultaneous localization and synchronization (SLAS).
In this talk two practically relevant scenarios for SLAS are considered, and the most popular solution strategies are revised. These strategies include classical and Bayesian estimation based on linearization, semidefinite relaxation or message-passing. Moreover, a network implementation of distributed SLAS is discussed, and open issues in current developments are leveraged.