Efficient Reiterative Censoring of Robust STAP Using the FRACTA Algorithm

Abstract

This paper presents further developments of the FRACTA algorithm which has been shown to be robust to nonhomogeneous environments containing outliers. The focus here is on the efficient implementation of the FRACTA algorithm. The key development is a censoring stopping mechanism whereby the number of reiterative steps can be minimized and computation is reduced. We introduce a data dependent stopping rule that demonstrates excellent results as evidenced by the detection of targets in the KASSPER challenge data cube. We also present some other enhancements to the FRACTA algorithm that further improve both efficiency and performance.

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Document Details

Document Type
Technical Report
Publication Date
Apr 14, 2005
Accession Number
ADA445274

Entities

People

  • Karl R. Gerlach
  • Shannon D. Blunt

Organizations

  • United States Naval Research Laboratory

Tags

Communities of Interest

  • Energy and Power Technologies
  • Sensors

DTIC Thesaurus Topics

  • Algorithms
  • Clutter
  • Computational Complexity
  • Covariance
  • Data Sets
  • Databases
  • Detection
  • Detectors
  • Dynamic Range
  • False Alarms
  • Military Research
  • Noise
  • Signal Processing
  • Steering
  • Target Detection
  • Targets
  • Training

Fields of Study

  • Computer science

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Aerospace Test and Evaluation
  • Statistical inference.