Remote Sensing Wind and Wind Shear System.

Abstract

The prototype development of an acoustic Doppler remote-sensing system to detect low-level wind shear generated by synoptic-scale features such as frontal surfaces is described. The detector system measures the vertical profile of wind by determining the Doppler frequency shift of vertically transmitted acoustic signals that are scattered by small-scale atmospheric inhomogeneities. Following earlier acoustic Doppler tests at Stapleton International Airport in Denver, Colorado, significant improvements have been accomplished on the acoustic transmitter and receiver antennas, and signal processing. A concial horn reflector antenna with a 2-m diameter aperture fed by 12 high-power acoustic drivers through a manifold increased the transmitted power by more than 100%. Substantial improvements have been achieved in received signal-to-noise ratio by developing a narrow-beam, off-focus steered receiver antenna that is capable of tracking the upward propagating acoustic pulse. Development of new system software made all-digital signal processing and computerized system control possible. A brief review of wind-shear types and their detection is followed by a discussion of second-generation wind-shear detection systems employing lidar and microwave radar devices.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 1977
Accession Number
ADA046275

Entities

People

  • Peter A. Mandics

Organizations

  • National Oceanic and Atmospheric Administration

Tags

Communities of Interest

  • Energy and Power Technologies
  • Sensors
  • Space

DTIC Thesaurus Topics

  • Accuracy
  • Acoustic Impedance
  • Acoustics
  • Boundary Layer
  • Computer Programs
  • Detection
  • Detectors
  • Doppler Effect
  • Doppler Radar
  • Doppler Systems
  • Measurement
  • Radar
  • Reliability
  • Signal Processing
  • Test And Evaluation
  • Transducers
  • Warning Systems

Readers

  • Atmospheric Science/Meteorology
  • Electromagnetic Wave Scattering and Antenna Radiation Engineering
  • Image Processing and Computer Vision.