ETD

Archivio digitale delle tesi discusse presso l'Università di Pisa

Tesi etd-07192007-220626


Tipo di tesi
Tesi di dottorato di ricerca
Autore
Taponecco, Lorenzo
Indirizzo email
lorenzo_taponecco@yahoo.it, lorenzo.taponecco@iet.unipi.it
URN
etd-07192007-220626
Titolo
Detection, synchronization and localization algorithms for uwb systems
Settore scientifico disciplinare
ING-INF/03
Corso di studi
INGEGNERIA DELL'INFORMAZIONE
Relatori
Relatore Prof. Mengali, Umberto
Relatore Prof. D'Amico, Antonio Alberto
Parole chiave
  • rake receivers
  • pam and ppm modulation
  • localization algorithms
  • differential receivers
  • timing synchronization
  • ultra-wideband
Data inizio appello
25/05/2007
Consultabilità
Non consultabile
Data di rilascio
25/05/2047
Riassunto
Ultra-wideband (uwb) is a rapidly emerging data transmission technology which is based on the spreading of the signal energy over a very wide frequency band, with a power spectral density comparable to that of background noise. These characteristics result in desirable properties including high data rate capability, potential for very fine time resolution and minimal interference to other radio systems. However, there are still challenges in making this technology live up to its full potential.
In the first part of our thesis we focused on detection problems. In particular we concentrated on the design of coherent and non-coherent receivers, taking into account the trade-off between complexity and performance. Afterward we approached the timing synchronization issue for differential receiver. A blind algorithm has been derived whose implementation requires a limited amount of extra circuitry in addition to that needed for detection purposes. Finally, we explored the problem of localization that is one of the most promising applications for uwb technology. In particular we concentrated on positioning techniques based on measurements of time of arrival (toa) of ultra-short pulses and we proposed an energy-based algorithm which has been derived making use of least mean square techniques.
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