TDOA-Based Localization via Stochastic Gradient Descent Variants

@article{AbantoLeon2018TDOABasedLV,
  title={TDOA-Based Localization via Stochastic Gradient Descent Variants},
  author={Luis F. Abanto-Leon and Arie G. C. Koppelaar and Sonia M. Heemstra de Groot},
  journal={2018 IEEE 88th Vehicular Technology Conference (VTC-Fall)},
  year={2018},
  pages={1-5}
}
Source localization is of pivotal importance in several areas such as wireless sensor networks and Internet of Things (IoT), where the location information can be used for a variety of purposes, e.g. surveillance, monitoring, tracking, etc. Time Difference of Arrival (TDOA) is one of the well- known localization approaches where the source broadcasts a signal and a number of receivers record the arriving time of the transmitted signal. By means of computing the time difference from various… 
Distance-based Mobile Node Localization of Fixed Beacons Using RMS Prop
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Lecture 6 a : Overview of Mini - batch Gradient Descent
Lecture 6a: Overview of Mini-batch Gradient Descent
Sensor intelligence enabling Industry 4.0