Skip to Main content Skip to Navigation
Conference papers

Joint distance and azimuth angle estimation using an UWB-based indoor localization system

Nour Awarkeh 1, 2, 3 Jean-Christophe Cousin 1, 2, 3 Muriel Muller 4, 3 Nel Samama 4, 3, 5, 6
1 RFM2 - Radio-Fréquences Microondes et Ondes Millimétriques
LTCI - Laboratoire Traitement et Communication de l'Information
2 COMELEC - Département Communications & Electronique
3 IP Paris - Institut Polytechnique de Paris
4 EPH - Département Electronique et Physique
5 TIPIC-SAMOVAR - Traitement de l'Information Pour Images et Communications
SAMOVAR - Services répartis, Architectures, MOdélisation, Validation, Administration des Réseaux
6 CNRS - Centre National de la Recherche Scientifique
Abstract : This paper presents a ranging test conducted in a standard indoor environment using an ultra-wideband (UWB) radar system. The position is determined by jointly estimating the distance using the Energy Detection (ED) method, and the Azimuth angle using Phase Correlation (PC) method. The obtained results show that this UWB ranging system can improve the angular resolution compared to traditional Indoor Localization Systems (ILSs).
Keywords : UWB Indoor localization Energy detection Azimuth angle Phase correlation
Document type :
Conference papers
Complete list of metadatas
https://hal.telecom-paris.fr/hal-02313843
Contributor : Jean-Christophe Cousin <>
Submitted on : Friday, October 11, 2019 - 3:29:20 PM
Last modification on : Friday, October 9, 2020 - 8:40:11 AM

Identifiers

  • HAL Id : hal-02313843, version 1

Collections

CNRS | TELECOM-SUDPARIS | PARISTECH | INSTITUT-TELECOM | LTCI | UNIV-PARIS-SACLAY | IP_PARIS | COMELEC | RFM2

Citation

Nour Awarkeh, Jean-Christophe Cousin, Muriel Muller, Nel Samama. Joint distance and azimuth angle estimation using an UWB-based indoor localization system. CCIT 2019: International Conference on Advances in Computing, Communication and Information Technology, Dec 2019, Rome, Italy. pp.88-92. ⟨hal-02313843⟩

Export

BibTeX TEI DC DCterms EndNote

Share

Metrics

Record views

80