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- W3048871113 abstract "In vehicular networks many applications and services require the use of vehicle position, which motivates the research on high-precision vehicle localization schemes. Unfortunately, conventional localization systems, e.g., global positioning system (GPS), hardly meet new accuracy requirements in some special scenarios. On the other hand, radio frequency identification (RFID) has become an efficient booster for internet of things (IOT) due to its low cost, battery-free, and unique identification. In this paper, we propose an RFID-based vehicle localization scheme in GPS-less environments. Considering the practical implementation of multiple RFID reader antennas on a vehicle is constrained, we therefore adopt single antenna multi-frequency-based range estimation, in which the integer ambiguity problem is solved by a closed-form robust Chinese remainder theorem (CRT) algorithm. Then, Levenberg-Marquardt (LM) algorithm is exploited to obtain the location of the vehicle. Experimental results demonstrate that the proposed scheme can achieve accurate vehicle localization with error lower than 33cm at the probability of 90%." @default.
- W3048871113 created "2020-08-18" @default.
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- W3048871113 date "2020-07-01" @default.
- W3048871113 modified "2023-09-24" @default.
- W3048871113 title "RFID-Based Vehicle Localization Scheme in GPS-Less Environments" @default.
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- W3048871113 doi "https://doi.org/10.1109/infocomwkshps50562.2020.9162740" @default.
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