| Title: |
Optimal Uncalibrated RSS Indoor Positioning and Optimal Reference Node Placement Using Cramér-Rao Lower Bound |
| Authors: |
Tolza, Xavier; Acco, Pascal; Fourniols, Jean-Yves; Soto-Romero, Georges; Escriba, Christophe; Bracq, Manuel |
| Contributors: |
Équipe Instrumentation embarquée et systèmes de surveillance intelligents (LAAS-S4M); Laboratoire d'analyse et d'architecture des systèmes (LAAS); Université Toulouse Capitole (UT Capitole); Communauté d'universités et établissements de Toulouse (Comue de Toulouse)-Communauté d'universités et établissements de Toulouse (Comue de Toulouse)-Institut National des Sciences Appliquées - Toulouse (INSA Toulouse); Institut National des Sciences Appliquées (INSA)-Communauté d'universités et établissements de Toulouse (Comue de Toulouse)-Institut National des Sciences Appliquées (INSA)-Communauté d'universités et établissements de Toulouse (Comue de Toulouse)-Université Toulouse - Jean Jaurès (UT2J); Communauté d'universités et établissements de Toulouse (Comue de Toulouse)-Université Toulouse III - Paul Sabatier (UT3); Communauté d'universités et établissements de Toulouse (Comue de Toulouse)-Centre National de la Recherche Scientifique (CNRS)-Institut National Polytechnique (Toulouse) (Toulouse INP); Communauté d'universités et établissements de Toulouse (Comue de Toulouse)-Université Toulouse Capitole (UT Capitole); Communauté d'universités et établissements de Toulouse (Comue de Toulouse); Laboratoire Culture, sport, santé, société - UFC (UR 4660) (C3S); Université de Franche-Comté (UFC); Université Bourgogne Franche-Comté COMUE (UBFC)-Université Bourgogne Franche-Comté COMUE (UBFC); FFLY4U |
| Source: |
ISSN: 1687-725X. |
| Publisher Information: |
CCSD; Hindawi Publishing Corporation |
| Publication Year: |
2019 |
| Collection: |
Université Toulouse 2 - Jean Jaurès: HAL |
| Subject Terms: |
[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing; [STAT.OT]Statistics [stat]/Other Statistics [stat.ML] |
| Description: |
International audience ; In this paper we propose a global positioning algorithm of multiple assets based on Received Signal Strength (RSS) measurements that takes into account the gain uncertainties of each hardware transceiver involved in the system, as well as the uncertainties on the Log-Distance Path Loss (LDPL) parameters. Such a statistical model is established and its Maximum Likelihood Estimator (MLE) is given with the analytic expression of the Cramér-Rao Lower Bound (CRLB). Typical values of those uncertainties are given considering whether calibration is done in production, in situ, or if hardware is used uncalibrated, in order to know what is the expected accuracy in function of the calibration setup. Results are tested by numerical simulations and confronted to real measurements in different room configurations, showing that the theoretical bound can be reached by the proposed MLE algorithm. |
| Document Type: |
article in journal/newspaper |
| Language: |
English |
| DOI: |
10.1155/2019/5494901 |
| Availability: |
https://hal.science/hal-02283386; https://hal.science/hal-02283386v1/document; https://hal.science/hal-02283386v1/file/5494901.pdf; https://doi.org/10.1155/2019/5494901 |
| Rights: |
info:eu-repo/semantics/OpenAccess |
| Accession Number: |
edsbas.15CF2992 |
| Database: |
BASE |