Name
Abstract | ||
|---|---|---|
Vehicular position information plays a crucial role in intelligent transportation systems (ITS). In this paper, the RFID based vehicular localization method is studied. The UHF RFID tag is used as a electronic license plate (ELP) and placed on the vehicular front windshield. The RFID reader and antennas are installed on the sign gantry. The phase difference of arrival (PDOA) of RFID backscatter signal is utilized to estimate the distances between the tag and antennas. To improve the ranging accuracy, a multi-frequency PDOA ranging algorithm is proposed. Then, the localization problem is modeled as an optimization problem based on the maximum likelihood estimate method. An efficient search algorithm is proposed to find the optimal solution and get the position of the vehicle. Experimental results show that the proposed method achieves a mean ranging error of 0. 013m and a mean localization error of 0. 065m. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/RFID-TA.2019.8892053 | 2019 IEEE International Conference on RFID Technology and Applications (RFID-TA) |
Keywords | Field | DocType |
RFID,vehicular localization,PDOA,ITS | Windshield,Search algorithm,Backscatter,Maximum likelihood,Electronic engineering,Ranging,Intelligent transportation system,Engineering,Ultra high frequency,Optimization problem | Conference |
ISBN | Citations | PageRank |
978-1-7281-0590-1 | 0 | 0.34 |
References | Authors | |
5 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yunlei Zhang | 1 | 4 | 1.80 |
| Yongtao Ma | 2 | 0 | 0.34 |
| Kaihua Liu | 3 | 90 | 11.16 |
| Jin-Long Wang | 4 | 1402 | 94.86 |
| Shuai Li | 5 | 6 | 1.81 |