Abstract
This paper introduces a three-dimensional building model in conjunction with visibility predictions to simulate the conditions of conducting an experiment in a dense urban environment and evaluates the ability to use long term evolution (LTE) signals for positioning and navigation. In particular, this paper focuses on the direct line-of-sight (DLOS) visibility between LTE small cells and an equipped vehicle traveling along the city streets of Denver, CO. Using the DLOS visibility predictions, an interacting multiple model (IMM) filter that uses extended Kalman filters (EKFs) similar to the one developed in [1] was implemented and executed in a simulation of the urban environment while incorporating the DLOS visibility predictions to determine the accuracy of locating the LTE small cell locations.
| Original language | English (US) |
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| Title of host publication | Proceedings of the 34th International Technical Meeting of the Satellite Division of the Institute of Navigation, ION GNSS+ 2021 |
| Publisher | Institute of Navigation |
| Pages | 2166-2182 |
| Number of pages | 17 |
| ISBN (Electronic) | 9780936406299 |
| DOIs | |
| State | Published - 2021 |
| Externally published | Yes |
| Event | 34th International Technical Meeting of the Satellite Division of the Institute of Navigation, ION GNSS+ 2021 - St. Louis, United States Duration: Sep 20 2021 → Sep 24 2021 |
Publication series
| Name | Proceedings of the 34th International Technical Meeting of the Satellite Division of the Institute of Navigation, ION GNSS+ 2021 |
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Conference
| Conference | 34th International Technical Meeting of the Satellite Division of the Institute of Navigation, ION GNSS+ 2021 |
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| Country/Territory | United States |
| City | St. Louis |
| Period | 9/20/21 → 9/24/21 |
Bibliographical note
Funding Information:This project is funded by an AFRL contract (DRC.11223.03.RR001744.19). The data collection experiment was conducted by Harrison Bourne and Steve Taylor from the Satellite Navigation and Sensing Lab at the University of Colorado Boulder.
Publisher Copyright:
© 2021 Proceedings of the 34th International Technical Meeting of the Satellite Division of the Institute of Navigation, ION GNSS+ 2021. All rights reserved.