Impact of Channel Statistics and Correlation on Underwater Acoustic Communication Systems

Abstract

Several statistical properties of underwater acoustic channels gathered from experiment data are analyzed. The baseband channel impulse response (CIR) is estimated using a time domain least squares technique with a sliding window applied to the probing sequences. From the CIR estimation, the probability distribution functions (PDFs) of the magnitude, real part, imaginary part, and phase of the CIR are calculated. Gamma Rayleigh, and compound k distributions are fitted to the magnitude PDF and the fitness of the distributions are calculated with a two-sample Kolmogorov-Smirnov test. Other statistics such as the autocorrelation function, coherence time, and scattering function are evaluated. The results show that the underwater acoustics channels are worse than the Rayleigh fading commonly seen as the worst case radio channel. Furthermore, the spatial and intertap correlation matrices of multiple input multiple output (MIMO) systems are estimated using experimental data. It is shown that underwater acoustic MIMO channels exhibit high spatial and temporal correlation. The bit error rate (BER) of the receiver using Frequency-domain turbo equalization is also evaluated in different channel correlation setups, demonstrating strong effects of the spatial-temporal correlation function on the performance.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2011
Accession Number
ADA571361

Entities

People

  • Jesse S. Cross

Organizations

  • Missouri University of Science and Technology

Tags

Communities of Interest

  • Air Platforms
  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Acoustic Channels
  • Communication Channels
  • Communication Systems
  • Data Science
  • Distribution Functions
  • Doppler Effect
  • Frequency
  • Frequency Domain
  • Information Science
  • Multiple Input Multiple Output
  • Probability
  • Probability Distributions
  • Random Variables
  • Statistical Analysis
  • Statistics
  • Time Domain
  • Wireless Communications

Fields of Study

  • Engineering
  • Physics

Readers

  • Approximation Theory.
  • Radio communications and signal processing.
  • Statistical inference.