Non-Data Aided Doppler Shift Estimation for Underwater Acoustic Communication

Abstract

In this paper, we investigated different methods for blind Doppler shift estimation and compensation for a single carrier in underwater acoustic wireless sensor networks. We analyzed the data collected from our experiments using non-data aided (blind) techniques such as Power Spectrum Analysis, Autocorrelation, and Squaring Time Phase Recovery methods in order to estimate the Doppler shift in collaborative distributed underwater sensor networks. Detailed experimental and simulated results based on second order cyclostationary features of the received signals are presented. Keywords: Blind Doppler Shift Estimation, Underwater Communication, Autocorrelation, Power Spectral Density (PSD), Periodogram.

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Document Details

Document Type
Technical Report
Publication Date
May 01, 2014
Accession Number
ADA619171

Entities

People

  • Ira S. Moskowitz
  • Paul Cotae
  • Suresh Regmi

Organizations

  • United States Naval Research Laboratory

Tags

Communities of Interest

  • Materials and Manufacturing Processes
  • Sensors

DTIC Thesaurus Topics

  • Autocorrelation
  • Carrier Frequencies
  • Communication Systems
  • Data Science
  • Detection
  • Detectors
  • Doppler Effect
  • Frequency
  • Information Science
  • Networks
  • Power Spectra
  • Recovery
  • Sensor Networks
  • Spectrum Analysis
  • Underwater Communications
  • Wireless Communications
  • Wireless Sensor Networks

Fields of Study

  • Engineering

Readers

  • Acoustics.
  • Approximation Theory.
  • Radio communications and signal processing.