Fast computation of Cramer-Rao Bounds for TOA: An application to network-based positioning simulations

Esteban Garzón, Santiago Valdiviezo, René Játiva, Josep Vidal

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

1 Cita (Scopus)

Resumen

As part of a larger scope work that studies network-based positioning, that employs timing measures, this article proposes a methodology to add Cramer-Rao Bounds (CRBs) information to the propagation model. Moreover, it enables a very quick computation of CRBs for timing, avoiding the growing computational effort resulting from Fisher's matrix formulation and its inversion for each required position at the simulation stage, assuring at the same time the reliability of the required data in the study of positioning using space-time diversity. This methodology considers the variability of the propagation conditions in terms of delay spread (DS) and Signal-to-Noise ratio (SNR) in a realistic scenario. It also coordinates the operation of concurrent models within simulation, and finally performs bi-exponential regression and interpolation procedures on pertinent operational regions for CRBs. Properly validated models provide simple closed expressions that ease the operational region discrimination and its integration to the positioning simulation platform.

Idioma originalInglés
Título de la publicación alojada2016 IEEE Latin American Conference on Computational Intelligence, LA-CCI 2016 - Proceedings
EditoresCristian Rodriguez, Juan Bernardo Gomez
EditorialInstitute of Electrical and Electronics Engineers Inc.
ISBN (versión digital)9781509051052
DOI
EstadoPublicada - 23 mar. 2017
Evento2016 IEEE Latin American Conference on Computational Intelligence, LA-CCI 2016 - Cartagena, Colombia
Duración: 2 nov. 20164 nov. 2016

Serie de la publicación

Nombre2016 IEEE Latin American Conference on Computational Intelligence, LA-CCI 2016 - Proceedings

Conferencia

Conferencia2016 IEEE Latin American Conference on Computational Intelligence, LA-CCI 2016
País/TerritorioColombia
CiudadCartagena
Período2/11/164/11/16

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