Iterative Space-Time Adaptive Processing

Abstract

To reduce the need of secondary data and/or accurate prior knowledge of the clutter statistics in space-time adaptive processing (STAP), we present herein a user parameter-free and secondary data-free fully automatic weighted least squares based iterative adaptive approach (IAA) to angle-Doppler imaging for airborne surveillance radar systems.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2009
Accession Number
ADA575898

Entities

People

  • Jiang Li
  • Muralidhar Rangaswamy
  • P. Stoica
  • Xiaojun Zhu

Organizations

  • Air Force Research Laboratory

Tags

Communities of Interest

  • Energy and Power Technologies
  • Sensors

DTIC Thesaurus Topics

  • Abstracts
  • Airborne
  • Automatic
  • Compressed Sensing
  • Detection
  • Detectors
  • Digital Signal Processing
  • False Alarms
  • Military Research
  • Moving Targets
  • Radar
  • Scanning
  • Signal Processing
  • Simulations
  • Statistics
  • Surveillance Radar
  • Target Detection

Fields of Study

  • Engineering

Readers

  • Radar Systems Engineering.
  • Statistical inference.
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.

Technology Areas

  • Space
  • Space - Space Objects