Results 201 to 210 of about 217,962 (248)

Delay Correction Method Based on VLF Timing Signal Phase Variation Model. [PDF]

Sensors (Basel)
Ma X, Yan W, Hu Z, Yuan J, Hua Y, Li S.
europepmc   +1 more source

3D Urban Outdoor WiFi 7 Network Planning and Analysis Using Ray-Tracing and Machine Learning: Transformer-Based Surrogate Modeling for High-Resolution Digital Twin. [PDF]

Sensors (Basel)
Trînc EC, Ancuți C, Vesa A, Simu C, Niță VA, Stolojescu-Crişan C.   +5 more
europepmc   +1 more source

Kissing Bond Damage Detection Based on the Non-Reciprocity of Nonlinear Guided Waves in CFRP-Reinforced Steel Plates. [PDF]

Materials (Basel)
Guan R, Zhang H, Deng J, Kang Q, Wang K.
europepmc   +1 more source

Experimental Comparison and Empirical Path Loss Modeling of LoRa Communication in Line-of-Sight and Forest Environments at 923 MHz. [PDF]

Sensors (Basel)
Boonlom K, Khonrang J, Akkaraekthalin P, Chudpooti N.   +3 more
europepmc   +1 more source

Non-Operative Management of a Complete ACL Rupture With the Cross-Bracing Protocol in an Elite Australian Rules Football Athlete. [PDF]

Clin Case Rep
Mead K, Dowsett M, Cass Z, Filbay S.
europepmc   +1 more source

Fat-intra-body communication system using flexible wearable antennas with human and torso phantom validation for biomedical applications. [PDF]

Sci Rep
Mandal B, Shaw T, Rangaiah PKB, Joseph L, Chezhian AS, Mani M, Karlsson RL, Augustine R.   +7 more
europepmc   +1 more source

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A Cognitive Algorithm for Received Signal Strength Based Localization

IEEE Transactions on Signal Processing, 2015
In this paper, we propose a method to localize a wireless and stationary blind node based on received signal strength measurements; the positioning scheme relies on the statistical path loss model. The operating environment is either non-homogeneous, i.e., the attenuation factors of the various links are different, or homogeneous, i.e., all links share
Francesco Bandiera, Angelo Coluccia, Giuseppe Ricci   +2 more
exaly   +2 more sources

Distributed target localization using quantized received signal strength

Signal Processing, 2017
In this paper, we propose a distributed gradient algorithm for received signal strength based target localization using only quantized data. The Maximum Likelihood of the Quantized RSS is derived and Particle Swarm Optimization is used to provide an initial estimate for the gradient algorithm.
B Mulgrew
exaly   +2 more sources

Geolocation From Received Signal Strength

2018 52nd Asilomar Conference on Signals, Systems, and Computers, 2018
Radio frequency transmitter geolocation has been addressed by many techniques. The approach presented in this paper uses received signal strength measurements to estimate transmitter locations, which can be obtained with relatively simple hardware. Several algorithms are described that do received signal strength-based geolocation and are tested on ...
Sam Whiting, Todd K. Moon, Jacob H. Gunther   +2 more
openaire   +1 more source