Simulation of Active and Passive Millimeter-Wave (35GHz) Sensors by Time Series Analysis.

Abstract

Analog voltage signals from a millimeter-wave (MMW) radiometer (passive sensor) and radar (active sensor) were collected over varying grassy terrains at Aberdeen Proving Ground (APG), Maryland in July 1980. These measurements were made as part of continuing studies of MMW sensors for smart munitions. The signals were digitized at a rate of 2,000 observations per second and then analyzed by the Box and Jenkins time series approach. This analysis reports on the characterization of these data sets. The passive time series signals resulted in a simple autoregressive-moving average process, similar to a previous set of data taken at Rome Air Development Center in Rome, N.Y. by Ballistic Research Laboratory. On the other hand, the radar data (active sensor) required a data transformation to enhance the analysis. In both cases the signals were well characterized using the Box-Jenkins time series approach.

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Document Details

Document Type
Technical Report
Publication Date
Nov 01, 1982
Accession Number
ADA121702

Entities

People

  • Denis F. Strenzwilk
  • Richard T. Maruyama

Organizations

  • Ballistic Research Laboratory

Tags

Communities of Interest

  • Materials and Manufacturing Processes
  • Sensors
  • Weapons Technologies

DTIC Thesaurus Topics

  • Data Science
  • Data Sets
  • Detectors
  • Information Science
  • Mean
  • Millimeter Wave Radar
  • Millimeter Waves
  • Passive Sensors
  • Random Variables
  • Simulations
  • Sine Waves
  • Slant Range
  • Standards
  • Stochastic Processes
  • Time Series Analysis
  • United States
  • White Noise

Readers

  • Image Processing and Computer Vision.
  • Microwave Engineering.
  • Statistical inference.

Technology Areas

  • 5G