Forward-looking Radar Clutter Suppression using Frequency Diverse Arrays

Abstract

This thesis introduces a new array structure, the Frequency Diverse Array (FDA), where each channel transmits and receives at a different frequency. The resulting range-dependent FDA antenna pattern is proposed to improve forward-looking clutter suppression. The planar FDA radar data model is derived and analytically verified to be equivalent to the constant frequency data model when each element frequency is set to the same value. The linear FDA at high platform altitude provides significant benefits? by reducing the range ambiguous clutter contribution, improving target detection by up to 10 dB. At low altitudes without range ambiguous clutter the linear FDA achieved a small but consistent performance improvement of 1 to 2 dB attributed to sample support data homogeneity. Planar FDA showed up to a 20 dB detection improvement for a high altitude platform with an airborne target. The simulation results show the FDA provides considerable benefit for low relative velocity targets, improving ground target detection for platforms such as Joint Surveillance and Target Attack Radar System (JSTARS) and Unmanned Aerial Vehicles (UAV).

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 2006
Accession Number
ADA451336

Entities

People

  • Piotr Baizert

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

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

DTIC Thesaurus Topics

  • Air Force
  • Aircrafts
  • Antenna Arrays
  • Department Of Defense
  • Detection
  • Detectors
  • Electrical Engineering
  • Frequency Diversity
  • Ground Moving Target Indicators
  • Information Operations
  • Phased Arrays
  • Radar
  • Side Looking Radar
  • Synthetic Aperture Radar
  • Two Dimensional
  • Unmanned Aerial Vehicles
  • Warning Systems

Fields of Study

  • Engineering

Readers

  • Canine Service Warrior Training Program for Wounded Warriors in the Veterinary Industry, Supported by Donors.
  • Radar Systems Engineering.
  • Sensor Fusion and Tracking Systems.

Technology Areas

  • Autonomy
  • Autonomy - UAVs