Next Generation Ultra-Wideband (UWB) Intrusion Detection Radar.

Abstract

This report describes the theory and development of an ultrawideband (UWB) electronic scanning radar (ESR) using a linear array of 10 microwave sources for intrusion detection application. Each source produces a 1 kW peak S band pulse having a duration of 1 ns. At boresight, the array produces an effective radiated power (erp) of 100 kW because the voltages of the individual sources add coherently in the far field. In addition to the ESR feature, a new algorithm was developed having the constant false alarm rate (CFAR) tunnel diode receiver threshold on noise and ground clutter. To reduce false alarms and improve detection and identification of crawlers, walkers, runners, and animal and vehicle targets, a new signal processing scheme employing a leading edge filter (LEF), in combination with neural network processing concepts, have been successfully developed. And by training neural networks to recognize these signatures, the results show promise for future use in other UWB systems. A primary advantage of the UWB ESR radar is low cost. It is estimated that the cost of this type of system is less than 1110 of comparable conventional radar ESR systems. Efforts to commercially exploit this technique are in progress.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 1996
Accession Number
ADA305556

Entities

People

  • Gerald F. Ross

Tags

Communities of Interest

  • Cyber
  • Electronic Warfare
  • Energy and Power Technologies
  • Materials and Manufacturing Processes
  • Sensors
  • Weapons Technologies

DTIC Thesaurus Topics

  • Air Force
  • Air Force Facilities
  • Beam Steering
  • Detection
  • Detectors
  • False Alarms
  • Far Field
  • Ground Clutter
  • Intrusion Detection
  • Leading Edges
  • Linear Arrays
  • Neural Networks
  • Radar
  • Signal Processing
  • Three Dimensional
  • Warning Systems
  • Waveforms

Readers

  • Radar Systems Engineering.

Technology Areas

  • AI & ML
  • Microelectronics