Stochastic-Constraints Method in Nonstationary Hot-Clutter Cancellation Part II: Unsupervised Training Applications

Abstract

We consider the use of "stochastically constrained" spatial and spatio-temporal adaptive processing in multimode nonstationary interference ("hot clutter") mitigation for scenarios that do not allow access to a group of range cells that are free from the backscattered sea/terrain signal ("cold clutter"). Since supervised training methods for interference covariance matrix estimation using the cold-clutter-free ranges are inappropriate in this case, we introduce and analyze adaptive routines which can operate on range cells containing a mixture of hot and cold clutter and possible targets (unsupervised training samples). Theoretical and simulation results are complemented by surface-wave over-the-horizon data processing, recently collected during experimental trials in northern Australia.

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Document Details

Document Type
Technical Report
Publication Date
Apr 01, 2003
Accession Number
ADP014047

Entities

People

  • Yuri I. Abramovich

Organizations

  • Defence Science and Technology Group

Tags

Communities of Interest

  • Materials and Manufacturing Processes
  • Sensors

DTIC Thesaurus Topics

  • Adaptive Filters
  • Algorithms
  • Antenna Arrays
  • Bandwidth
  • Data Processing
  • Detection
  • Filters
  • Frequency
  • Frequency Bands
  • Information Processing
  • Sea Clutter
  • Standards
  • Target Detection
  • Three Dimensional
  • Wave Propagation
  • Waveforms
  • White Noise

Readers

  • Computer Vision.
  • Radar Systems Engineering.
  • Regression Analysis.