Results 211 to 220 of about 83,194 (264)

SparseTrack: A Physics-Informed Transformer Framework for Real-Time Human Motion Reconstruction from Sparse IMUs. [PDF]

open access: yesSensors (Basel)
Balasubramanyam A   +5 more
europepmc   +1 more source

Information space of multi-sensor networks

Information Sciences, 2021
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Mo Tao   +3 more
openaire   +1 more source

A Detection Method of Multi-Sensor for Radar Countermeasure Network

IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium, 2020
With the development of radar technology and system, detecting in radar countermeasure network will be an inevitable trend. However, directly using the sampled data for signal detection will cause a problem, i.e., the calculation amount will be larger as the numbers of receivers and samples increase.
Yanli Tang   +4 more
openaire   +1 more source

Decorrelators for multi‐sensor systems in CDMA networks

European Transactions on Telecommunications, 1995
AbstractIn this paper we consider a multi‐sensor detection problem in both additive white Gaussian noise (AWGN) and fading channels with the users using the channel based on a code division multiple access (CDMA) scheme. Several multi‐sensor detectors that have been studied previously do offer good performance; however, these detectors require the ...
Srinivas Kandala   +2 more
openaire   +1 more source

Multi-Sensor Multi-Network Positioning

2012
This chapter discusses methods for positioning utilizing multiple sensors and networks. For achieving seamless positioning and navigation in a smartphone from satellite signal denied areas such as indoors to everywhere outdoors, various technologies to replace and assist satellite navigation, and flexible integration algorithms for measurement fusion ...
Heidi Kuusniemi, Yuwei Chen, Liang Chen
openaire   +1 more source

Multi-sensor networked estimation in electric power grids

2011 4th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), 2011
The performance of a continuous-discrete Kalman filter using multi-sensor observations with irregular sampling patterns is analyzed in terms of the dynamics of the associated (predicted) error-covariance matrix. Irregular sampling may occur as a result of differences in sampling rates and/or lack of synchrony in a geographically-distributed power ...
Bei Yan   +2 more
openaire   +1 more source

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