Two-Phase Robust Target Localization in Ocean Sensor Networks Using Received Signal Strength Measurements. [PDF]
Sensors (Basel), 2021 Zhang Y +6 more
europepmc +2 more sources
Indoor geolocation for wireless networks [PDF]
, 2011 An ever growing demand for ‘location based services’ and the unprecedented growth of wireless local area networks (WLAN) has, in the past few years, attracted the focus of the research community to investigate and develop accurate indoor geolocation ...
Ali, Shahid
core +7 more sources
Received Signal Strength Database Interpolation by Kriging for a Wi-Fi Indoor Positioning System. [PDF]
Sensors (Basel), 2015 Jan SS, Yeh SJ, Liu YW.
europepmc +2 more sources
Time series classification of radio signal strength for qualitative estimate of UAV motion
Machine Learning with Applications, 2021 Many common navigation solutions fall short when an aircraft’s GPS signal is either jammed or spoofed. This is typically due to the iterative nature of the estimation process, which requires an acceptably accurate initial estimate, or due to the ...
Samuel Teague, Javaan Chahl
doaj +1 more source
Received signal strength reconstruction using pix2pix generative adversarial network
Electronics Letters, 2023 Positioning technology based on received signal strength (RSS) fingerprints has emerged as a vital research topic in indoor localization due to its high accuracy and low cost.
Haochang Wu, Hao Qin, Xingqi Zhang
doaj +1 more source
Received signal strength recovery in green WLAN indoor positioning system using singular value thresholding. [PDF]
Sensors (Basel), 2015 Ma L, Xu Y.
europepmc +2 more sources
Received signal strength for randomly distributed molecular nanonodes [PDF]
Proceedings of the 4th ACM International Conference on Nanoscale Computing and Communication, 2017 6 pages, 6 figures, Nanocom 2017 ...
Rafay Iqbal Ansari +4 more
openaire +3 more sources
Indoor 3-D Localization Based on Received Signal Strength Difference and Factor Graph for Unknown Radio Transmitter. [PDF]
Sensors (Basel), 2019 Zhang L, Du T, Jiang C.
europepmc +2 more sources
CNN‐based received signal strength prediction: A frequency conversion scheme
Electronics Letters, 2023 To support the design and deployment of emerging high‐frequency wireless systems in various applications such as intelligent transportation, advanced received signal strength (RSS) simulation tools for radio coverage prediction are needed.
Siyi Huang, Xingqi Zhang
doaj +1 more source
LoRaWAN‐implemented node localisation based on received signal strength indicator
IET Wireless Sensor Systems, 2023 Long Range Wireless Area Network (LoRaWAN) provides desirable solutions for Internet of Things (IoT) applications that require hundreds or thousands of actively connected devices (nodes) to monitor the environment or processes.
Ibrahim Aqeel +5 more
doaj +1 more source