Clutter Cancellation Limits of Adaptive Processing Applied to Coherent Multiple-Input Multiple-Output Ground Moving Target Indication

Abstract

Coherent, multiple-input multiple-output (MIMO) extensions to radar systems offer a number of performance advantages over more conventional approaches. For ground moving target indication (GMTI), the benefits can include lower minimum detectable velocity (MDV) and more accurate target direction estimation. In part, these benefits are afforded by the superior clutter cancellation offered by the long, filled virtual array that MIMO can yield, while using relatively few physical antenna elements. In addition, the use of uncorrelated waveforms for coherent MIMO GMTI diffuses the transmitted energy uniformly over a broad azimuthal coverage region, yielding a long effective coherent integration time. This enhances the above benefits and also provides finer Doppler resolution. For applications in which the geometry and MIMO radar system design result in ground clutter occupying a suitably limited extent of range and Doppler, waveform sets such as time-division multiple access (TDMA) or Doppler-division multiple access (DDMA) can be used to realize the above benefits. However, it has been noted that the clutter cancellation is less effective when the clutter has a greater range-Doppler extent. Various alternative low-correlation waveform sets have failed to mitigate this problem.

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Document Details

Document Type
Technical Report
Publication Date
Aug 31, 2011
Accession Number
ADA550038

Entities

People

  • L. L. Horowitz

Organizations

  • Massachusetts Institute of Technology

Tags

DTIC Thesaurus Topics

  • Cancellation
  • Clutter
  • Ground Clutter
  • Ground Moving Target Indicators
  • Mimo Radar
  • Moving Targets
  • Multiple Access
  • Multiple Input Multiple Output
  • Radar
  • Targets
  • Time Division Multiple Access
  • Waveforms

Fields of Study

  • Engineering

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Radar Systems Engineering.
  • Systems Analysis and Design