Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Xuesheng Peng"'
Publikováno v:
IEEE Access, Vol 7, Pp 176767-176781 (2019)
Real-time locating and tracking Technology plays a significant role in location-based IoT applications. With the extensive installation of WiFi access points, the WiFi based indoor positioning approach has become one of the most widely used location
Externí odkaz:
https://doaj.org/article/e3629c1f08b340d1a7f44d3e4f8ab05d
Publikováno v:
IEEE Access, Vol 7, Pp 162439-162453 (2019)
Indoor positioning services have become necessary in many situations. Radio frequency (RF) signals are suitable for being used for positioning because of their ubiquity and imperceptibility. This paper utilizes the information from the baseband of a
Externí odkaz:
https://doaj.org/article/70f86e91fea04eb49e92bbac05ec6225
Publikováno v:
IEEE Access, Vol 7, Pp 162439-162453 (2019)
Indoor positioning services have become necessary in many situations. Radio frequency (RF) signals are suitable for being used for positioning because of their ubiquity and imperceptibility. This paper utilizes the information from the baseband of a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1a4e3ee4c5de7626693f30d23b4539dc
https://ieeexplore.ieee.org/document/8890682/
https://ieeexplore.ieee.org/document/8890682/
Publikováno v:
IEEE Access, Vol 7, Pp 176767-176781 (2019)
Real-time locating and tracking Technology plays a significant role in location-based IoT applications. With the extensive installation of WiFi access points, the WiFi based indoor positioning approach has become one of the most widely used location
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4c6e27dfdfbb12050963f0444355764c
https://ieeexplore.ieee.org/document/8924707/
https://ieeexplore.ieee.org/document/8924707/
Publikováno v:
Electronics, Vol 9, Iss 2117, p 2117 (2020)
Electronics
Volume 9
Issue 12
Electronics
Volume 9
Issue 12
The weighted K-nearest neighbor (WKNN) algorithm is the most commonly used algorithm for indoor localization. Traditional WKNN algorithms adopt received signal strength (RSS) spatial distance (usually Euclidean distance and Manhattan distance) to sel
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::786651d7327701a4a7d345157be949de
https://www.mdpi.com/2079-9292/9/12/2117
https://www.mdpi.com/2079-9292/9/12/2117
Publikováno v:
Measurement Science and Technology. 32:034003
Fingerprinting localization based on Wi-Fi received signal strength (RSS) is the most widely used indoor localization method. It typically includes offline training and online matching phases. The selection of the RSS characteristic value is a key st
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fffd97955d777e7286f83242c9bec2d6
https://doi.org/10.1088/1361-6501/abc510
https://doi.org/10.1088/1361-6501/abc510
Publikováno v:
UPINLBS
Reference points (RP) clustering methods such as K-means are frequently used to reduce the region of search in most of fingerprint clustering algorithms. However, traditional clustering algorithms analysis the geometric proximity of RP only in the of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1885f182e5fcc80c70a48f18b5b6c439
https://doi.org/10.1109/upinlbs.2018.8559874
https://doi.org/10.1109/upinlbs.2018.8559874
Autor:
ACHROUFENE, ACHOUR
Publikováno v:
Adhoc & Sensor Wireless Networks; 2023, Vol. 56 Issue 1/2, p105-135, 31p
Publikováno v:
Measurement Science & Technology; Mar2021, Vol. 32 Issue 3, p1-12, 12p
Publikováno v:
Electronics (2079-9292); Dec2020, Vol. 9 Issue 12, p2117, 1p