Automatic, Continuous River Stage Measurement with a Millimeter-Wave FM- CW Radar

Abstract

River stage measurements at many locations are fundamental for the analysis of dynamic events on rivers, including ice breakup. But, these data are frequently unavailable. A high-resolution, broadband millimeter-wave (26.5 to 40 GHz) Frequency Modulated-Continuous Wave (FM-CW) radar, with real-time data acquisition and digital signal processing capability, was mounted from fixed locations on bridges over the Connecticut River to continuously acquire, process, store and display river stage data during controlled releases of water from a hydropower dam. The radar system provided continuous stage data of accuracy comparable to those acquired by a survey team and a permanent U.S. Geological Survey stream gauging station. The system can be rapidly installed and is capable of acquiring data, including event timing, at l-, 10- or 60- second intervals, around-the-clock, without operator interaction or visual readings. The system sensor can be remotely mounted and monitored, thereby minimizing safety hazards to personnel using direct measurement techniques. Cold regions, Millimeter-wave radar, River stage measurements, Breakup, Radar instrumentation, FM-CW Radar, River ice.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1993
Accession Number
ADA276508

Entities

People

  • Michael G. Ferrick
  • Norbert E. Yankielun

Organizations

  • Cold Regions Research and Engineering Laboratory

Tags

Communities of Interest

  • Materials and Manufacturing Processes
  • Sensors

DTIC Thesaurus Topics

  • Accuracy
  • Acquisition
  • Birds
  • Cold Regions
  • Connecticut River
  • Continuous Waves
  • Continuous-Wave Radar
  • Data Acquisition
  • Digital Signal Processing
  • Frequency
  • Geological Surveys
  • High Resolution
  • Ice Breakup
  • Measurement
  • Millimeter Waves
  • Radar
  • Signal Processing

Fields of Study

  • Environmental science

Readers

  • Computer Science/Computer Engineering/Data Science/Digital Signal Processing.
  • Radar Systems Engineering.
  • Riverine Ecology

Technology Areas

  • 5G