Results 41 to 50 of about 7,056 (211)

Ziv-Zakai-Optimal OFDM Resource Allocation for Time-of-Arrival Estimation [PDF]

IEEE Transactions on Wireless Communications
This paper presents methods of optimizing the placement and power allocations of pilots in an orthogonal frequency-division multiplexing (OFDM) signal to minimize time-of-arrival (TOA) estimation errors under power and resource allocation constraints ...
Andrew M. Graff, Todd E. Humphreys
semanticscholar   +1 more source

Hybrid TOA/AOA Approximate Maximum Likelihood Mobile Localization

Journal of Electrical and Computer Engineering, 2010
This letter deals with a hybrid time-of-arrival/angle-of-arrival (TOA/AOA) approximate maximum likelihood (AML) wireless location algorithm. Thanks to the use of both TOA/AOA measurements, the proposed technique can rely on two base stations (BS) only ...
Mohamed Zhaounia, Mohamed Adnan Landolsi, Ridha Bouallegue   +2 more
doaj   +1 more source

Constrained Weighted Least-Squares Algorithms for 3-D AOA-Based Hybrid Localization

IEEE Open Journal of Signal Processing
Source localization with time-of-arrival (TOA), time-difference-of-arrival (TDOA), time-delay (TD), received-signal-strength (RSS), or angle-of-arrival (AOA) measurements from several spatially distributed sensors is commonly used in practice.
Yanbin Zou, Wenbo Wu, Jingna Fan, Huaping Liu   +3 more
doaj   +1 more source

Predicting the Time of Arrival of Coronal Mass Ejections at Earth From Heliospheric Imaging Observations [PDF]

Journal of Geophysical Research - Space Physics, 2020
The time of arrival (ToA) of coronal mass ejections (CMEs) at Earth is a key parameter due to the space weather phenomena associated with the CME arrival, such as intense geomagnetic storms.
C. Braga, A. Vourlidas, G. Stenborg, A. Dal Lago, R. R. S. Mendonça, E. Echer   +5 more
semanticscholar   +1 more source

Comparison of Semidistributed Multinode TOA-DOA Fusion Localization and GPS-Aided TOA (DOA) Fusion Localization for MANETs

EURASIP Journal on Advances in Signal Processing, 2008
This paper evaluates the performance of a semidistributed multinode time-of-arrival (TOA) and direction-of-arrival (DOA) fusion localization technique in terms of localization circular error probability (CEP).
Seyed Zekavat, Zhonghai Wang
doaj   +1 more source

Narrowband Interference Mitigation in UWB Systems Utilizing Frequency Dependence of Null Formation in Array Antennas

IEEE Access, 2016
The high precision ranging using ultra wideband (UWB) signals is expected for various applications. However, UWB requires mitigation of narrowband interference (NBI) from other wireless systems.
Kazutaka Kikuta, Akira Hirose
doaj   +1 more source

Extra Climate Benefits From Afforestation Due to Reduced Forest Fragmentation in China

Advanced Science, EarlyView.
Afforestation in China reduced forest fragmentation in 2015, transforming 51.8 M ha of edge forests into interior forests. This enhanced carbon sequestration (1.4±0.2 Pg CO2e, a cooling biogeochemical effect), while reduced albedo (−0.9 Pg CO2e, a warming biophysical effect) partially offset the gain, yielding a net extra climate benefit of ...
Nan Meng, Wei Li, Philippe Ciais, Martin Brandt, Xiaowei Tong, Yanzheng Yang, Guofeng Shen, Wei Du, Lei Zhu, Yi Leng, Minxuan Sun, Mengjie Han, Xuemei Zhang, Jie Zhang, Nan Wang, Dan Tong, Chao Wu, Wenhao Dong, Shu Tao, Bo Pan   +19 more
wiley   +1 more source

Surfaceome Reprogramming of Stemsomes Promotes Lung Cancer Targeting via Potentiated Receptor–Ligand Interactions

Advanced Science, EarlyView.
This study presents a surfaceome‐reprogramming strategy for mutation‐independent lung cancer therapy by repurposing dexamethasone to prime mesenchymal stem cell‐derived nanovesicles. The engineered vesicles leverage multi‐valent interactions mediated by upregulated adhesion proteins, EPHA2, and NOTCH3.
Geunhye Kim, In Ah Kwon, Bo Seop Jeong, Hyo Seon Kim, Joo‐Hwan Park, Sung Jean Park, Sang‐Rae Lee, Youngki Lee, Dongwoo Khang   +8 more
wiley   +1 more source

Dynamic geo‐hydrogeological monitoring‐driven situational awareness for real‐time floor water inrush risk prediction in deep mining

Deep Underground Science and Engineering, EarlyView.
The fused data extracted from the distributed monitoring system as the data basis, combined with dynamic geological data, are imported into a deep learning model. As the geological conditions of mining and excavation change, the risk of water inrush at the working face is retrieved in real time.
Yongjie Li, Huiyong Yin, Fangying Dong, Tao Wu, Chao Zhang   +4 more
wiley   +1 more source

Synchronization-Free Underwater Acoustic Localization for Autonomous Platforms: A Neural Network TDOA Approach and the Role of Receiver Geometry

Drones
Accurate underwater acoustic localization is a key enabling capability for autonomous underwater vehicles and underwater drones, which cannot rely on satellite positioning while submerged and therefore depend on acoustic methods to determine their ...
Yigit Mahmutoglu
doaj   +1 more source