Simultaneous LTE Signal Propagation Modelling and Base Station Positioning Based on Multiple Virtual Locations
Abstract
In the Long Term Evolution (LTE) system, the Signal Propagation Model (SPM) and the location information of the base stations are required for positioning a smartphone. To this end, this paper proposes a technique for estimating the SPM and the location of the base station at the same time using location-based Reference Signal Received Power (RSRP) information acquired in a limited area. In the proposed technique, multiple Virtual Locations (VLs) for a base station are set within the service area. Signal propagation modelling is performed based on the assumptions that a base station is in each VL and the RSRP measurements are obtained from the corresponding base station. The residuals between the outputs of the estimated SPM and the RSRP measurements are then calculated. The VL with the minimum sum of the squared residuals is determined as the location of the base station. At the same time, the SPM estimated based on the corresponding VL is selected as the SPM of the base station. As a result of the experiment in Seoul, it was confirmed that the positions of seven base stations were estimated with an average accuracy of 40.2 m.
Funder
Institute for Information and Communications Technology Promotion
Subject
Electrical and Electronic Engineering,Biochemistry,Instrumentation,Atomic and Molecular Physics, and Optics,Analytical Chemistry
Reference29 articles.
1. Local Positioning Systems: LBS Applications and Serivices;Kolodziej,2006
2. Understanding GPS: Principles and Applications;Kaplan,1996
3. Wireless Location in CDMA Cellular Radio Systems;Caffery,1999
4. Signal processing techniques in network-aided positioning;Sun;IEEE Signal Process. Mag.,2005
5. Measurement Error Observer-Based IMM Filtering for Mobile Node Localization Using WLAN RSSI Measurement
Cited by
1 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Learning Cellular Coverage from Real Network Configurations using GNNs;2023 IEEE 97th Vehicular Technology Conference (VTC2023-Spring);2023-06