[HTML][HTML] Multi-stage convolutional autoencoder network for hyperspectral unmixing
Hyperspectral unmixing (HU) is a fundamental and critical task in various hyperspectral
image (HSI) applications. Over the past few years, the linear mixing model (LMM) has …
image (HSI) applications. Over the past few years, the linear mixing model (LMM) has …
GRIDLoc: A Gradient Blending and Deep Learning based Localization Approach Combining RSS and CSI
Q Dai, B Qian, GO Boateng, X Guo… - IEEE Wireless …, 2024 - ieeexplore.ieee.org
Received Signal Strength (RSS) and Channel State Information (CSI) are two commonly
used fingerprints in fingerprint-based localization systems. Combining RSS and CSI has the …
used fingerprints in fingerprint-based localization systems. Combining RSS and CSI has the …
[PDF][PDF] Wireless Positioning: Technologies, Applications, Challenges, and Future Development Trends
X Li, H Pang, G Li, J Jiang, H Zhang… - … -Computer Modeling in …, 2024 - researchgate.net
The development of the fifth-generation (5G) mobile communication systems has entered
into the stage of commercialization. 5G has the characteristics of high data rate, low latency …
into the stage of commercialization. 5G has the characteristics of high data rate, low latency …
Multidirectional differential RSS technique for indoor vehicle navigation
While indoor vehicle navigation is an essential component in large-scale parking garages of
major cities, technical limitations and challenging propagation environments considerably …
major cities, technical limitations and challenging propagation environments considerably …
Semidefinite programming for wireless cooperative localization using biased RSS measurements
Q Wang, Z Duan, F Li - IEEE Communications Letters, 2022 - ieeexplore.ieee.org
Cooperative localization in wireless sensor network (WSN) using biased received signal
strength (RSS) measurements is investigated in this letter. In the existing work on …
strength (RSS) measurements is investigated in this letter. In the existing work on …
RSS localization using multistep linearization in the presence of unknown path loss exponent
Location awareness is essential to numerous wireless sensor network applications.
However, it is challenging to have an accurate location estimation, especially for the …
However, it is challenging to have an accurate location estimation, especially for the …
Real-time outdoor localization using radio maps: A deep learning approach
Global Navigation Satellite Systems typically perform poorly in urban environments, where
the likelihood of line-of-sight conditions between devices and satellites is low. Therefore …
the likelihood of line-of-sight conditions between devices and satellites is low. Therefore …
Self UAV localization using multiple base stations based on TDoA measurements
Localization of GPS-less UAV is fundamental for path planning and navigation. In this letter,
a TDoA-based approach for self-localizing UAV is proposed. The approach utilizes multiple …
a TDoA-based approach for self-localizing UAV is proposed. The approach utilizes multiple …
Deep learning-based multifloor indoor tracking scheme using smartphone sensors
C Lin, Y Shin - IEEE Access, 2022 - ieeexplore.ieee.org
Having recently become an important research topic, indoor tracking in a multi-floor building
delivers comprehensive and efficient location-based services. In this paper, we present a …
delivers comprehensive and efficient location-based services. In this paper, we present a …
3-D hybrid RSS-AoA passive source localization with unknown path loss exponent
The use of received signal strength (RSS) measurements for passive localization is a simple
and versatile method in wireless sensor networks. Another commonly used method is based …
and versatile method in wireless sensor networks. Another commonly used method is based …