Low complexity acquisition of GPS signals

Xiao Li, Yonina C. Eldar, Anna Scaglione

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Scopus citations

Abstract

In this paper, a low complexity algorithm for GPS signal acquisition is proposed. It is shown that the samples acquired by a bank of much fewer correlators suffice to detect the GPS signals in contrast to that in existing GPS acquisition algorithms. Our acquisition scheme is based on the recently developed analog compressed sensing framework and employs compressive multichannel correlators as the matched filters, which allows to identify the strongest satellite signals in the field of view and pinpoint the correct code-phase and Doppler shifts for acquisition.

Original languageEnglish (US)
Title of host publication2011 IEEE 12th International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2011
Pages56-60
Number of pages5
DOIs
StatePublished - Sep 16 2011
Externally publishedYes
Event2011 IEEE 12th International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2011 - San Francisco, CA, United States
Duration: Jun 26 2011Jun 29 2011

Publication series

NameIEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC

Other

Other2011 IEEE 12th International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2011
Country/TerritoryUnited States
CitySan Francisco, CA
Period6/26/116/29/11

Keywords

  • GPS
  • analog compressed sensing
  • compressive sensing
  • spread spectrum

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Computer Science Applications
  • Information Systems

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