Modem Signature Analysis.

Abstract

The objective of this effort was to theoretically and experimentally investigate the use of modem signature analysis techniques for in-service channel-quality monitoring of voice bandwidth channels used for digital transmission. 'Modem Signatures' is a term applied to any characteristic derived from the signal source by measurement or transformation (FFT, for example) for use by a generalized algorithm. Monitoring refers to the determination of the transmission channel condition and, ideally, to the identification of the type and degree of impairments affecting the channel, to aid the operator in effectively managing available resources (channels) and maximizing up-time. Throughout the course of this effort, algorithms effective in the monitoring of in-service voice frequency data lines were developed and demonstrated. A hierarchial approach to performance monitoring was presented and implemented in the form of a demonstration software system. Through demonstration, it was shown that reliable performance monitoring can be achieved for 1200 and 2400 bits/second modems. Not only could the type of impairment be recognized from among Guassian noise, odd harmonic distortion and phase jitter, but the degree of the impairment was also indicated.

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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 1982
Accession Number
ADA127993

Entities

People

  • Curry M. Bartlett
  • James W. Modestino
  • Michael B. Koligman
  • Robert J. Dick
  • Thomas V. Edwards

Tags

Communities of Interest

  • C4I
  • Energy and Power Technologies
  • Human Systems

DTIC Thesaurus Topics

  • Air Force
  • Algorithms
  • Amplitude Modulation
  • Communication Channels
  • Communication Systems
  • Computational Science
  • Databases
  • Detection
  • Digital Communications
  • Frequency Shift
  • Information Science
  • Modulation
  • Operating Systems
  • Pattern Recognition
  • Plastic Explosives
  • Power Spectra
  • Statistical Analysis

Readers

  • Radio communications and signal processing.
  • Sensor Fusion and Tracking Systems.