Research on DL-TDOA Positioning Performance Optimization in Tunnel Scenarios
Auteur(s): |
Xin You
Daxin Tian Wenbao Gao Jinghui Lu Jinyin Xue |
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Médium: | article de revue |
Langue(s): | anglais |
Publié dans: | Journal of Physics: Conference Series, 1 décembre 2023, n. 1, v. 2670 |
Page(s): | 012010 |
DOI: | 10.1088/1742-6596/2670/1/012010 |
Abstrait: |
High-precision vehicle positioning is a necessary condition for realizing intelligent transportation and autonomous driving, and positioning information is one of the basic elements to ensure the security of the Internet of Vehicles business. Aiming at the high-precision positioning requirements of tunnel scenarios, the DL-TDOA technology is analysed and optimized in this paper. First, the non-line-of-sight (NLOS) error suppression algorithm is optimized, then the influence of the deployment vertical and horizontal distance ratio of base station nodes on the positioning accuracy in the actual deployment is analysed, and finally, the clock accuracy and output frequency of the device are improved. Through the optimization above, the positioning accuracy of DL-TDOA technology in the tunnel environment can be enhanced, and the application effect can be improved. |
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sur cette fiche - Reference-ID
10777419 - Publié(e) le:
12.05.2024 - Modifié(e) le:
12.05.2024