User Manual for the Microsoft Window Edition of the Simple Acoustic Decision Aid (WSADA) Version 1.3

Abstract

The Simple Acoustic Decision Aid (SADA) is an atmospheric acoustic propagation model which incorporates the fast computational speed of a ray model with some properties of the full wave models. The original design of SADA was for use in an acoustic sensor system where computer speed and battery life is very limited. SADA bas been coupled with the graphical user interface used for the Scanning Fast-Field Program (SCAFFIP) I. The graphical interface allows for the user to setup input profiles for the model to run, meteorological profile builder to create reasonable profiles if none are available, and a graphical display to review the results of the calculations. The ray model generates arclengths for a direct and reflected ray propagating from source-to-sensor if ones exist. The wave model ingests the arclengths and calculates the attenuation accounting for the complex ground interactions on the reflected wave and the attenuation of sound by the atmosphere due to molecular absorption. The attenuation table for range and frequency for a chosen azimuth is calculated and displayed. The user can also specify basic source and background level information and have the program display the signal-to-noise ratios (SNR) at each frequency with range.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 2003
Accession Number
ADA415350

Entities

People

  • John M. Noble

Organizations

  • United States Army Research Laboratory

Tags

Communities of Interest

  • Advanced Electronics
  • Sensors

DTIC Thesaurus Topics

  • Acoustic Detectors
  • Acoustic Propagation
  • Acoustic Waves
  • Acoustics
  • Atmospheric Motion
  • Barometric Pressure
  • Detectors
  • Frequency
  • Heat Energy
  • Latent Heat
  • Manuals
  • Meteorology
  • Operating Systems
  • Urban Areas
  • User Manuals
  • Wind
  • Wind Direction

Fields of Study

  • Physics

Readers

  • Database Systems and Applications
  • Wave Propagation and Nonlinear Chaotic Dynamics.