Results 111 to 120 of about 12,611 (225)
Underground RSSI positioning method based on multi-stage denoising and dual-branch temporal network
The underground Received Signal Strength Indicator (RSSI) signal exhibits non-stationary characteristics such as sharp spikes, high-frequency jitter, and trend drift under the influence of multipath propagation, occlusion, and electromagnetic ...
FENG Ziyang +6 more
doaj +1 more source
GPS-based positioning faces significant challenges in accuracy and reliability, especially due to environmental factors such as signal interruptions, multi-path propagation, and poor satellite visibility.
Nihat Daldal, Muhammad Zaib
doaj +1 more source
The information interaction and positioning technology based on commercialWi-Fi plays a crucial role in expanding the applications for the Internet ofThings and smart homes.
Jin Huang, Xuejie Hu, Yue Tian
doaj +1 more source
Geolocation of Devices in Low-Power Wide-Area LoRa Network
This article is focused on the geolocation possibilities in low-power deployments. A novel Logarithmic Distance Path Loss Model with a Memory (LDPL-M) algorithm is proposed to enhance the accuracy of determining the location of end devices.
Ladislav Zemko +4 more
doaj +1 more source
Estudio de la cobertura de una red de LoRaWAN
Este artículo presenta el estudio exploratorio de la cobertura geográfica de una red de LoRaWAN ubicada en una zona urbana. Se obtuvo un alcance estable de hasta 19 km utilizando un Field Tester especialmente desarrollado para este trabajo y vinculado a ...
Nahuel Hernán Bruno +2 more
doaj +1 more source
A Study of WLAN RSSI Based Distance Measurement Using EEMD [PDF]
Received Signal Strength Indicator (RSSI) was deemed that it is not applicable for WLAN localization directly, as it is highly influenced by environment and limited by the measurement device. This distortion must be avoided to improve RSSI based distance
Xu, Z, Lin, C, Sandrasegaran, K, Hu, B
core
Hybrid FSO/RF Networks with Neural Prediction of RSSI and Weather
This paper investigates neural network models for predicting weather parameters and received signal strength indicator (RSSI) to enable adaptive handover in hybrid free space optics (FSO)/radio frequency (RF) systems.
Liščinská Zuzana +2 more
doaj +1 more source
Correlation coefficient between RH and RF fingerprint RSSI.
Correlation coefficient between RH and RF fingerprint RSSI.
Haotai Sun (18078268) +1 more
core +1 more source
Rapid Radio Map Construction via Vehicle-Based SLAM in GNSS-Denied Environments. [PDF]
Shin B, Kim T, Lee T.
europepmc +1 more source
Software-Defined UHF RFID Asset Tracking in Metallic Aircraft Cabins via IMU-Assisted Adaptive Kalman Filtering and Distilled Edge Intelligence. [PDF]
Karadag M, Pinarer O.
europepmc +1 more source

