A survey of enabling technologies for network localization, tracking, and navigation
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 …
so far, has triggered a multitude of applications across different verticals, such as consumer …
A survey of Monte Carlo methods for parameter estimation
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 …
of interest given a set of observed data. These estimates are typically obtained either by …
Location awareness in beyond 5G networks via reconfigurable intelligent surfaces
Achieving accurate location-awareness in wireless networks requires integrated sensing
and communication (ISAC), where optimization, signal processing, and data fusion are …
and communication (ISAC), where optimization, signal processing, and data fusion are …
A theoretical foundation of network localization and navigation
Network localization and navigation (NLN) is a promising paradigm, in which mobile nodes
exploit spatiotemporal cooperation, to provide reliable location information for a diverse …
exploit spatiotemporal cooperation, to provide reliable location information for a diverse …
Message passing algorithms for scalable multitarget tracking
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 …
applications in fields such as autonomous driving, indoor localization, robotic networks, and …
An overview on integrated localization and communication towards 6G
Abstract while the fifth generation (5G) cellular system is being deployed worldwide,
researchers have started the investigation of the sixth generation (6G) mobile …
researchers have started the investigation of the sixth generation (6G) mobile …
Adaptive importance sampling: The past, the present, and the future
A fundamental problem in signal processing is the estimation of unknown parameters or
functions from noisy observations. Important examples include localization of objects in …
functions from noisy observations. Important examples include localization of objects in …
Soft information for localization-of-things
Location awareness is vital for emerging Internet-of-Things applications and opens a new
era for Localization-of-Things. This paper first reviews the classical localization techniques …
era for Localization-of-Things. This paper first reviews the classical localization techniques …
[图书][B] Training recurrent neural networks
I Sutskever - 2013 - cs.utoronto.ca
Recurrent Neural Networks (RNNs) are artificial neural network models that are well-suited
for pattern classification tasks whose inputs and outputs are sequences. The importance of …
for pattern classification tasks whose inputs and outputs are sequences. The importance of …
Collaborative sensor network localization: Algorithms and practical issues
RM Buehrer, H Wymeersch… - Proceedings of the …, 2018 - ieeexplore.ieee.org
Emerging communication network applications including fifth-generation (5G) cellular and
the Internet-of-Things (IoT) will almost certainly require location information at as many …
the Internet-of-Things (IoT) will almost certainly require location information at as many …