Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Ying-Tso Hsu"'
Autor:
Ying-Tso Hsu, 徐瑛佐
99
With technique growing, there has been an increasing need to capture the context information and to gure it into applicaitions. In this paper, we established the theoretical base and developed a calibration-free localization system in an outd
With technique growing, there has been an increasing need to capture the context information and to gure it into applicaitions. In this paper, we established the theoretical base and developed a calibration-free localization system in an outd
Externí odkaz:
http://ndltd.ncl.edu.tw/handle/32396106406993760160
Publikováno v:
IEEE Internet of Things Journal. 2:596-603
This study proposes an accurate and calibration-free mobile device localization algorithm in cellular networks. By exploiting the mutual received signal strength (RSS) between base stations, the proposed algorithm creates an accurate RSS-distance map
Publikováno v:
IEEE Transactions on Vehicular Technology. 61:726-736
This study proposes two positioning algorithms, called the focused time delay neural network (FTDNN) and the distributed time delay neural network (DTDNN), to efficiently learn the mobile location from sequential received signal strength (RSS). By em
Publikováno v:
IEEE Transactions on Wireless Communications. 10:4018-4022
This paper proposes a dynamic fingerprinting combination (DFC) algorithm that improves mobile localization by dynamically weighting the spatial correlation from multiple location fingerprinting systems. This DFC algorithm first extracts the complemen