Experimental measurement of time difference of arrival

Seuté, Hugo; Enderli, Cyrille; Grandin, Jean-François; Khenchaf, Ali; Cexus, Jean-Christophe

doi:10.1109/irs.2016.7497354

Cited by 4 publications

(1 citation statement)

References 3 publications

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“…5 that for the simulation part, the TDOA can be estimated with an error >10%, down to 1.5 ns for SNR superior to 10 dB, and down to 2 ns for SNR close to 3 dB. The results indicate clearly the superiority of the introduced scheme compared with conventional cross-correlation technique [21] that exhibits root mean square error (RMSE) >10%, down to 4.75 ns for SNR superior to 10 dB, and down to 9.5 ns for SNR close to 3 dB.…”

Section: Resultsmentioning

confidence: 71%

Orthogonal frequency division multiplexing‐based time difference of arrival estimation

2019

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Maître de conférence Encadrant i ii This research is dedicated:To my parents: my dear father "Issa" who spent his life to grow mine, and my sweethearted mother "Boshra" who is the spring that never stops giving.To my wife "Areej", there are no words that could describe how I am grateful for her support and encouragement throughout the years.To "Nima", who has always been by my side and gave me assistance.To my daughter "Boshra" for her patience and understanding.My deepest gratitude to my brothers: "Tamer", "Ghassan", "Housam", and my sisters "Inas" "Faten" "Nesrean".Finally, to all my family members who have been a constant source of motivation, inspiration, and support. iii iv Acknowledgments First and foremost, I would like to express my deep appreciation to my director Prof. Aziz Benlarbi-Delaï for providing advice, support and excellent guidance. The warm discussions and regular meetings I had with him during this research. His spirit of youth contributed greatly to the successful completion of this research. I also thankful to the members of jury particularly the reviewers Mme Boukour Fauzia, M. Loyez Christophe who their recommendations were very useful. In continue, thanks to M. De Donker Philippe, M. Kokabi Hamid and M. Sarrazin Julien. I owe a deep debt of gratitude to the Islamic university of Gaza, Sorbonne University, the Phoenix project for giving me an opportunity to complete this work by providing me all the efforts and facilities. Finally, I would like to take this opportunity to thank warmly all my beloved friends, who have been very supportive during my thesis, especially my best friend Amine Rabehi. v vi AbstractWireless technologies make possible the emergence of smart environment where different things are interconnected to each other to give people more services and flexibility. Due to that, a huge number of connected objects, expected to reach tens of billions by 2030, will be attached to the network and will need a huge amount of energy. This energy, usually expressed in time and frequency domains, needs to be reduced and may benefit from the optimal exploitation of the third domain: the spatial resource.We focus on this last domain, since finding the position of the connected objects can help to perform multi-hop communication, or to achieve energy and data focalization, leading to energy efficient communication. Finding the position means generally performing triangulation, through pseudo-distances, which in turn means time delay management. So far, among several time estimation techniques, TimeDifference Of Arrival (TDOA) seems to be a good candidate to combine accuracy and ease of use, especially for the short-range indoor application.In order to help the emergence of a low added complexity indoor location system, our contribution consists of a TDOA based solution that exploits the OFDM based popular communication signals. In this work, we perform, using a Multiple Inputs Simple Output, channel characterization and modeling for TDOA estimation.By handling these channel frequency respo...

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Section: Resultsmentioning

confidence: 71%