Location information for events, assets, and individuals, mostly focusing on two dimensions
so far, has triggered a multitude of applications across different verticals, such as consumer …

Statistical signal processing applications usually require the estimation of some parameters
of interest given a set of observed data. These estimates are typically obtained either by …

Achieving accurate location-awareness in wireless networks requires integrated sensing
and communication (ISAC), where optimization, signal processing, and data fusion are …

Network localization and navigation (NLN) is a promising paradigm, in which mobile nodes
exploit spatiotemporal cooperation, to provide reliable location information for a diverse …

Abstract while the fifth generation (5G) cellular system is being deployed worldwide,
researchers have started the investigation of the sixth generation (6G) mobile …

Situation-aware technologies enabled by multitarget tracking will lead to new services and
applications in fields such as autonomous driving, indoor localization, robotic networks, and …

A fundamental problem in signal processing is the estimation of unknown parameters or
functions from noisy observations. Important examples include localization of objects in …

Abstract Recurrent Neural Networks (RNNs) are powerful sequence models that were
believed to be difficult to train, and as a result they were rarely used in machine learning …

Ultra-Wideband (UWB) is a Radio Frequency technology that is currently used for accurate
indoor localization. However, the cost of deploying such a system is large, mainly due to the …

Emerging communication network applications including fifth-generation (5G) cellular and
the Internet-of-Things (IoT) will almost certainly require location information at as many …