Digital Construction and Characterization of Noise-like Spread Spectrum Signals

Abstract

A new method for generating digital noise-like spread spectrum signals is proposed. A standard binary keystream is used to generate a sequence of chips according to a Gaussian-like chip amplitude distribution for spreading sequences. The properties of these spreading signals are investigated as a function of the number of discrete amplitude levels and number of chips per symbol. The similarities between the generated signals and random Gaussian signals are evaluated based on higher-order moments. Implementation considerations, such as peak-to-average power ratio and amplifier backoff are also considered.

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Document Details

Document Type
Technical Report
Publication Date
Nov 01, 2016
Accession Number
AD1033688

Entities

People

  • Donald Ii C. Buzanowski
  • Frederick J. Block
  • Thomas C. Royster

Organizations

  • MIT Lincoln Laboratory

Tags

DTIC Thesaurus Topics

  • Amplifiers
  • Amplitude
  • Cross Correlation
  • Data Science
  • Detectors
  • Distortion
  • Distribution Functions
  • Gaussian Distributions
  • Gaussian Processes
  • Multiple Access
  • Normal Distribution
  • Probability
  • Probability Distributions
  • Random Variables
  • Spread Spectrum
  • Statistical Analysis
  • Statistics

Fields of Study

  • Engineering

Readers

  • Approximation Theory.
  • Radio communications and signal processing.