Effects of Multipath and Oversampling on Navigation Using Orthogonal Frequency Division Multiplexed Signals of Opportunity

Abstract

This research exploits the Orthogonal Frequency Division Multiplexed (OFDM) signal for the purpose of navigation. A transmitter and reference receiver, both at known locations, and a mobile receiver at an unknown location were used to conduct simulations of a transmitted OFDM signal in a Rayleigh-distributed multipath environment. The OFDM signal structure was exploited by using the cyclic prefix in a correlation process to find the first symbol boundary in each received signal. Statistical features about each symbol is calculated at both receivers and then correlated to find the difference in arrival times. The simulations were run for varying levels of multipath, and also for oversampling in an effort to gain more accurate results by decreasing the sample period. Results show that oversampling the signal only slightly reduces errors in the symbol boundary correlation process, while multipath has a significant impact on the performance of both correlation processes. It was also found that increasing the window size significantly improved the performance of the feature correlator and yielded promising results even in the presence of high multipath environments.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 2008
Accession Number
ADA485142

Entities

People

  • Christopher M. Schexnayder

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Energy and Power Technologies
  • Human Systems
  • Space

DTIC Thesaurus Topics

  • Air Force
  • Communication Channels
  • Communication Systems
  • Computational Science
  • Department Of Defense
  • Electrical Engineering
  • Global Positioning Systems
  • Hyperbolic Navigation
  • Loran
  • Modulation
  • Multiple Access
  • Multiplexing
  • Navigation
  • Radio Navigation
  • Radio Signals
  • Range Finding
  • Television Systems

Fields of Study

  • Engineering

Readers

  • Radio communications and signal processing.
  • Regression Analysis.