Backscat Lidar Simulation Version 4.0: Technical Documentation and Users Guide

Abstract

SPARTA's BACKSCAT software package simulates the performance of lidars for remote sensing and other atmospheric applications. The package accommodates a wide range of lidar systems, viewing scenarios, and atmospheric conditions, plus it contains a user-friendly menu interface system for specifying input parameters. This report gives technical documentation and a Users Guide for BACKSCAT Version 4.0. In this effort, comprehensive and versatile signal-to-noise (SNR) performance models have been introduced into BACKSCAT. The SNR models give performance and range accuracy estimates for direct detection and coherent Doppler lidar systems, plus estimates of the wind speed accuracy for coherent Doppler systems. The models contain all important noise sources inherent in the detection process and allow the user to select from built-in detectors, as well as define their own detector specifications. In response to the user community, five water clouds have been added to BACKSCAT and they can be 'clicked-on' automatically as built-in cloud models. BACKSCAT version 4.0 also contains an auxiliary software package, 'MABS', that estimates the molecular absorption profile for a lidar wavelength. 'MABS' generates output that can be used in a simulation. Because 'MABS' performs a broadband calculation, it is not intended to be a complete treatment of the molecular absorption problem. Finally, methods of handling the increased size of the BACKSCAT package have been developed. Lidar simulation, Signal-to-noise models, Lidar backscatter.

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Document Details

Document Type
Technical Report
Publication Date
Jun 10, 1994
Accession Number
ADA285851

Entities

People

  • David R. Longtin
  • James R. Jones
  • John R. Hummel
  • Michael G. Cheifetz

Tags

Communities of Interest

  • Air Platforms
  • Cyber
  • Energy and Power Technologies
  • Sensors

DTIC Thesaurus Topics

  • Boundary Layer
  • Computer Programs
  • Detection
  • Detectors
  • Diffraction
  • Distribution Functions
  • Doppler Systems
  • Electromagnetic Wave Propagation
  • Normal Distribution
  • Optical Properties
  • Optics
  • Quantum Efficiency
  • Radar
  • Raman Scattering
  • Rayleigh Scattering
  • Refractive Index
  • Scattering

Readers

  • Atmospheric Remote Sensing.
  • Computational Modeling and Simulation
  • Computer Science/Computer Engineering/Data Science/Digital Signal Processing.