Low Probability of Detection Underwater Acoustic Communications using Direct-Sequence Spread Spectrum

Abstract

Direct-sequence spread spectrum is used for underwater acoustic communications between nodes, at least one of which is moving. At-sea data show that the phase change due to source motion is significant: The differential phase between two adjacent symbols is often larger than the phase difference between symbols. This poses a challenge to phase-detection based receiver algorithms when the source or receiver is moving. A pair of energy detectors that are insensitive to the phase fluctuations is proposed, whose outputs are used to determine the relationship between adjacent symbols. Good performance is achieved for a signal-to-noise ratio SNR as low as -10 dB based on at-sea data. While the method can be applied to signaling using short code sequences, the focus in this paper is on long code sequences for the purpose of achieving a high processing gain at the expense of a low data rate, so that communications can be carried out at a low input SNR to minimize the probability of detection PD by an interceptor. PD is calculated for a typical shallow water environment as a function of range for several source levels assuming a broadband energy detector with a known signal bandwidth.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 2008
Accession Number
ADA506712

Entities

People

  • T C Yang
  • Wen-bin Yang

Organizations

  • United States Naval Research Laboratory

Tags

Communities of Interest

  • C4I
  • Energy and Power Technologies
  • Ground and Sea Platforms

DTIC Thesaurus Topics

  • Acoustic Communications
  • Autonomous Underwater Vehicles
  • Bandwidth
  • Cross Correlation
  • Detection
  • Detectors
  • Doppler Effect
  • False Alarms
  • Frequency
  • Frequency Shift
  • Normal Distribution
  • Probability
  • Probability Distributions
  • Spread Spectrum
  • Underwater Acoustic Communications
  • Underwater Communications
  • Warning Systems

Fields of Study

  • Engineering

Readers

  • Acoustical Oceanography.
  • Radar Systems Engineering.
  • Radio communications and signal processing.