Spread-Spectrum Communications in Non-Gaussian Channels

Abstract

The overall purpose of this research project was to seek new methods for improving the robustness and efficiency of spread-spectrum communications systems operating over non-Gaussian channels. The study was motivated in large part by the fact that modern military radio networks must operate in complex and variable noise environments that are often dominated by impulsive, non-Gaussian man-made noise sources. The research under this contract progressed in three basic areas: (1) optimum multiuser demodulation techniques; (2) direct-sequence spread-spectrum multiple-access (DS/SSMA) signaling through impulsive channels; and (3) improved suppression of narrowband interferers from spread-spectrum signals. The common thread binding these three disparate multiuser- communications research topics is the fact that each involves the processing of signals in non-Gaussian interference. In the first case, the non-Gaussian interference is the multiuser noise interfering with the demodulation of a given user; in the second case, the non-Gaussian interference is the impulsive noise dominating the channel; and in the third case, the non-Gaussian interference is the spread-spectrum signal itself as it interferes with the prediction and consequent excision of the narrowband interferer. (rh)

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Document Details

Document Type
Technical Report
Publication Date
May 27, 1990
Accession Number
ADA222886

Entities

People

  • H. V. Poor

Organizations

  • University of Illinois Urbana–Champaign

Tags

Communities of Interest

  • Human Systems
  • Space

DTIC Thesaurus Topics

  • Abstracts
  • Classification
  • Closed Loop Systems
  • Contracts
  • Control Systems
  • Correlators
  • Electrical Engineering
  • Engineering
  • Gaussian Channels
  • Illinois
  • Information Theory
  • Military Research
  • Multiple Access
  • Noise
  • Signal Processing
  • Simulations
  • Spread Spectrum

Fields of Study

  • Engineering

Readers

  • Radio communications and signal processing.
  • Systems Analysis and Design