SELF-LOCALIZING ON-DEMAND PORTABLE WIRELESS BEACONS FOR COVERAGE ENHANCEMENT OF RF BEACON-BASED INDOOR LOCALIZATION SYSTEMS

Self-Localizing On-Demand Portable Wireless Beacons for Coverage Enhancement of RF Beacon-Based Indoor Localization Systems

Localization using relative ranging from radio frequency (RF) wireless beacons installed in an indoor infrastructure is becoming the hallmark of indoor localization systems for asset tracking.However, the coverage of these beacons is not always complete.Moreover, installing the beacons in underutilized spaces is not cost-effective.Deploying portabl

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Deep Learning Network for Speckle De-Noising in Severe Conditions

Digital holography is well adapted to measure any modifications related to any objects.The method refers to digital holographic interferometry where the phase change between two states of the object is of interest.However, the Protection Boots phase images are corrupted by the speckle decorrelation noise.In this paper, we address the question of de

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