Adaptive Localization in Wireless Sensor Network through Bayesian Compressive Sensing [PDF]
International Journal of Distributed Sensor Networks, 2015 The estimation of the localization of targets in wireless sensor network is addressed within the Bayesian compressive sensing (BCS) framework. BCS can estimate not only target locations but also noise variance of the environment.
Zuoxin Xiahou, Xiaotong Zhang
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Bayesian Compressive Sensing as Applied to Directions-of-Arrival Estimation in Planar Arrays [PDF]
Journal of Electrical and Computer Engineering, 2013 The Bayesian compressive sensing (BCS) is applied to estimate the directions of arrival (DoAs) of narrow-band electromagnetic signals impinging on planar antenna arrangements.
Matteo Carlin +3 more
doaj +2 more sources
MT-BCS-Based DoA and Bandwidth Estimation of Unknown Signals through Multiple Snapshots Data [PDF]
International Journal of Antennas and Propagation, 2020 The Direction-of-Arrival (DoA) and bandwidth (BW) estimation strategy impinging on a linear array using multiple snapshots data is addressed within the multitask Bayesian Compressive Sensing (MT-BCS).
Shi Hui Zhang +4 more
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A Bayesian Compressive Sensing Vehicular Location Method Based on Three-Dimensional Radio Frequency [PDF]
International Journal of Distributed Sensor Networks, 2014 In vehicular ad hoc networks (VANETs) safety applications, vehicular position is fundamental information to achieve collision avoidance and fleet management.
Yunpeng Wang +5 more
doaj +2 more sources
Nonparametric and Continuous Variable-Based Stratigraphic Modelling from Sparse Boreholes using Signed Distance Function and Bayesian Compressive Sensing [PDF]
Canadian geotechnical journal (Print)An accurate stochastic interpretation of subsurface stratigraphy with quantified uncertainty can benefit the subsequent risk management of geotechnical infrastructure.
Zehang Qian +3 more
semanticscholar +3 more sources
Achievable Performance of Bayesian Compressive Sensing Based Spectrum Sensing [PDF]
, 2014 In wideband spectrum sensing compressive sensing approaches have been used at the receiver side to decrease the sampling rate if the wideband signal can be represented as sparse in a given domain. While most studies consider the reconstruction of primary
Erküçük, Serhat +2 more
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Stochastic analysis of load-transfer mechanism of energy piles by random finite difference model
Journal of Rock Mechanics and Geotechnical Engineering, 2023 The surge in demand for renewable energy to combat the ever-escalating climate crisis promotes development of the energy-saving, carbon saving and reduction technologies.
Chao Shi, Yu Wang
doaj +1 more source
, 2022 The long-term structural health monitoring (SHM) provides massive data, leading to a high demand for data transmission and storage. Compressive sensing (CS) has great potential in alleviating this problem by using less samples to recover the complete ...
H. Wan, G. Dong, Yaozhi Luo, Yiqing Ni
semanticscholar +1 more source
Bayesian Compressive Sensing for Ultra-Wideband Channel Models [PDF]
, 2012 Considering the sparse structure of ultra-wideband (UWB) channels, compressive sensing (CS) is suitable for UWB channel estimation. Among various implementations of CS, the inclusion of Bayesian framework has shown potential to improve signal recovery as
Erküçük, Serhat +2 more
core +3 more sources
Robust diagnostics for Bayesian compressive sensing with applications to structural health monitoring [PDF]
, 2011 In structural health monitoring (SHM) systems for civil structures, signal compression is often important to reduce the cost of data transfer and storage because of the large volumes of data generated from the monitoring system.
Yong Huang +7 more
core +1 more source