Home ETD
banca dati delle tesi e dissertazioni accademiche elettroniche
Università di Pisa
Sistema bibliotecario di ateneo
Tesi etd-07202007-181348
Condividi questa tesi: 
 
 

Tipo di tesi Tesi di dottorato di ricerca
Autore Principe, Fabio
Indirizzo email fabio.principe@gmail.com, fabio.principe@iet.unipi.it
URN etd-07202007-181348
Titolo Iterative message-passing-based algorithms to detect spreading codes
Settore scientifico disciplinare ING-INF/03 - TELECOMUNICAZIONI
Corso di studi INGEGNERIA DELL'INFORMAZIONE
Commissione
Nome Commissario Qualifica
Prof. Marco Luise Relatore
Parole chiave
  • SBAS
  • message-passing
  • m-sequences
  • GPS
  • gold codes
  • GNSS
  • CDMA
  • acquisition
  • spread-spectrum
Data inizio appello 2007-05-25
Disponibilità unrestricted
Riassunto analitico
This thesis tackles the issue of the rapid acquisition of spreading codes in Direct-Sequence Spread-Spectrum (DS/SS) communication systems. In particular, a new algorithm is proposed that exploits the experience of the iterative
decoding of modern codes (LDPC and turbo codes) to detect these sequences. This new method is a Message-Passing-based algorithm.
Specifically, instead of correlating the received signal with local replicas of the transmitted linear feedback shift register (LFSR) sequence, an iterative Message-Passing algorithm is implemented to be run on a loopy graph. In particular, these graphical models are designed by manipulating the generating polynomial structure of the considered LFSR sequence.
Therefore, this contribution is a detailed analysis of the detection technique based on Message-Passing algorithms to acquire m-Sequences and Gold codes. More in detail, a unified treatment to design and implement a specific set of graphical models for these codes is reported. A theoretical study on the acquisition time performance and their comparison to the standard algorithms (full-parallel, simple-serial, and hybrid searches) is done. A preliminary architectural design is also provided. Finally, the analysis is also enriched by comparing this new technique to the standard algorithms in terms of computational complexity and (missed/wrong/correct) acquisition probabilities as derived by simulations.
File
  Nome file       Dimensione       Tempo di download stimato (Ore:Minuti:Secondi) 
 
 28.8 Modem   56K Modem   ISDN (64 Kb)   ISDN (128 Kb)    piu' di 128 Kb  
  Fabio_Principe_Thesis.pdf 3.07 Mb 00:14:13 00:07:19 00:06:24 00:03:12 00:00:16
Contatta l'autore