Application of compressive sensing in cognitive radio communications: A survey
Compressive sensing (CS) has received much attention in several fields such as digital
image processing, wireless channel estimation, radar imaging, and cognitive radio (CR) …
image processing, wireless channel estimation, radar imaging, and cognitive radio (CR) …
Sparsity-aware multi-source TDOA localization
H Jamali-Rad, G Leus - IEEE Transactions on Signal …, 2013 - ieeexplore.ieee.org
The problem of source localization from time-difference-of-arrival (TDOA) measurements is
in general a non-convex and complex problem due to its hyperbolic nature. This problem …
in general a non-convex and complex problem due to its hyperbolic nature. This problem …
Compressive sensing based target counting and localization exploiting joint sparsity
One of the fundamental issues in Wireless Sensor Networks (WSN) is to count and localize
multiple targets accurately. In this context, there has been an increasing interest in the …
multiple targets accurately. In this context, there has been an increasing interest in the …
Robust component-based localizationin sparse networks
Accurate localization is crucial for wireless ad-hoc and sensor networks. Among the
localization schemes, component-based approaches specialize in localization performance …
localization schemes, component-based approaches specialize in localization performance …
Sparsity-aware multi-source RSS localization
We tackle the problem of localizing multiple sources in multipath environments using
received signal strength (RSS) measurements. The existing sparsity-aware fingerprinting …
received signal strength (RSS) measurements. The existing sparsity-aware fingerprinting …
A Communication Framework for Image Transmission through LPWAN Technology
Analyzing the conditions of use and selecting which technology is more efficient to apply is
required when transmitting information through wireless networks. The Internet of Things …
required when transmitting information through wireless networks. The Internet of Things …
A Communication Framework for Image Transmission through LPWAN Technology
Analyzing the conditions of use and selecting which technology is more efficient to apply is
required when transmitting information through wireless networks. The Internet of Things …
required when transmitting information through wireless networks. The Internet of Things …
Sparsity-aware TDOA localization of multiple sources
H Jamali-Rad, G Leus - 2013 IEEE International Conference on …, 2013 - ieeexplore.ieee.org
The problem of source localization from time-difference-of-arrival (TDOA) measurements is
in general a non-convex and complex problem due to its hyperbolic nature. This problem …
in general a non-convex and complex problem due to its hyperbolic nature. This problem …
Multi-Target Cooperative Visible Light Positioning: A Compressed Sensing Based Framework
X Wang, S Liu - ICC 2023-IEEE International Conference on …, 2023 - ieeexplore.ieee.org
In this paper, a compressed sensing (CS) based framework of multi-target cooperative
visible light positioning (VLP) is formulated to realize simultaneous high-accuracy …
visible light positioning (VLP) is formulated to realize simultaneous high-accuracy …
[PDF][PDF] F.; Pérez, M.; Mendez, D. A Communication Framework for Image Transmission through LPWAN Technology. Electronics 2022, 11, 1764
B Chaparro - 2022 - researchgate.net
Analyzing the conditions of use and selecting which technology is more efficient to apply is
required when transmitting information through wireless networks. The Internet of Things …
required when transmitting information through wireless networks. The Internet of Things …