Environmental sensors and algorithms for ground-based passive acoustic sensors

Research output: Contribution to journalConference article

2 Citations (Scopus)

Abstract

Passive acoustic detection of ground targets is governed by both local and regional weather conditions such as wind and temperature. The wind speed generally increases with height and can also change direction, making accurate assessment of detection coverage a real challenge. In the absence of wind, the temperature profile, or variation with height, changes the refractive index such that sound will tend to refract towards the cooler air (the sound speed is slower there). A new ground sensor technology has been developed under DARPA's IUGS program which integrates temperature, temperature gradient, humidity, barometric pressure, wind speed and direction, and insolation (solar radiation/reflection) from a ground sensor measurement site with upper level wind and temperature data from weather databases. This data is used to model the sound velocity profile from the surface to a height approximately one-tenth the propagation range of interest. A parabolic equation sound propagation model then creates a table for the sound transmission loss variability with range, frequency, and direction. For a given target and background noise, one can then reasonably predict detection range for a specific sensor design. When the ground sensor has "environmental intelligence," it can alter its integration and detection algorithms for improved performance in a dynamic weather environment.

Original languageEnglish (US)
Pages (from-to)195-206
Number of pages12
JournalProceedings of SPIE - The International Society for Optical Engineering
Volume3393
DOIs
StatePublished - Dec 1 1998

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Acoustics
Sensor
acoustics
weather
Acoustic waves
Weather
sensors
Sensors
Wind Speed
Range of data
Propagation
sound detecting and ranging
insolation
Temperature
Incident solar radiation
Target
Solar Radiation
intelligence
sound propagation
sound transmission

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering
  • Condensed Matter Physics

Cite this

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abstract = "Passive acoustic detection of ground targets is governed by both local and regional weather conditions such as wind and temperature. The wind speed generally increases with height and can also change direction, making accurate assessment of detection coverage a real challenge. In the absence of wind, the temperature profile, or variation with height, changes the refractive index such that sound will tend to refract towards the cooler air (the sound speed is slower there). A new ground sensor technology has been developed under DARPA's IUGS program which integrates temperature, temperature gradient, humidity, barometric pressure, wind speed and direction, and insolation (solar radiation/reflection) from a ground sensor measurement site with upper level wind and temperature data from weather databases. This data is used to model the sound velocity profile from the surface to a height approximately one-tenth the propagation range of interest. A parabolic equation sound propagation model then creates a table for the sound transmission loss variability with range, frequency, and direction. For a given target and background noise, one can then reasonably predict detection range for a specific sensor design. When the ground sensor has {"}environmental intelligence,{"} it can alter its integration and detection algorithms for improved performance in a dynamic weather environment.",
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