Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Yili Hei"'
Publikováno v:
物联网学报, Vol 2, Pp 68-77 (2018)
Channel state information can provide more detailed sub-carrier information,which attracts the attention of researchers in indoor localization technology.In view of the shortcomings of the traditional indoor location method in the accuracy and stabil
Externí odkaz:
https://doaj.org/article/7968eb4d1b8a408e85f056ecb645c9f5
Publikováno v:
International Journal of Distributed Sensor Networks, Vol 15 (2019)
The device-free channel state information indoor fingerprint localization method may lead to phase offset errors, strong fingerprint noise and low sampling classification accuracy. In light of these characteristics, this article presents an indoor lo
Externí odkaz:
https://doaj.org/article/fe2aad7b35274791a20a6a0756390a76
Publikováno v:
Communications in Computer and Information Science ISBN: 9789811368332
CWSN
CWSN
At present, the traditional indoor localization system based on Received Signal Strength (RSS) cannot provide high efficiency, high precision and high adaptability due to the instability of the RSS. For improving the locating problem preferably, Chan
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c54bafa77540fb953196dbd68e358127
https://doi.org/10.1007/978-981-13-6834-9_10
https://doi.org/10.1007/978-981-13-6834-9_10
Publikováno v:
Communications in Computer and Information Science ISBN: 9789811081224
CWSN
CWSN
Many existing wireless sensor network localization methods encounter low accuracy and high computational complexity, to address this problem, this paper proposes an improved clustering density weighted algorithm of fingerprint location based on Voron
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5e492ca35e508fa1093c75f29dd183e3
https://doi.org/10.1007/978-981-10-8123-1_16
https://doi.org/10.1007/978-981-10-8123-1_16
Publikováno v:
CITS
Received signal strength indicator (RSSI)-based localization attracting a great deal of research interest since it requires a relatively low configuration, battery power and easy control. However, the indoor localization algorithm based on RSSI is ea
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::76f564f016ef06d0493f07cf46632407
https://doi.org/10.1109/cits.2016.7546393
https://doi.org/10.1109/cits.2016.7546393