Response of sample covariance based MVDR beamformer to imperfect look and inhomogeneities

Christ D. Richmond

Research output: Contribution to journalArticlepeer-review

17 Scopus citations


The sample covariance based (SCB) minimum variance distortionless response (MVDR) beamformer has desirable properties under ideal homogeneous data conditions with perfect look. Such properties include maximum-likelihood optimality yielding an unbiased asymptotically efficient estimate of the signal parameter. When target array response mismatch exists and inhomogeneities are present, however, its performance can degrade considerably. Exact means and variances are given for the SCB MVDR beamformer output accounting simultaneously for finite sample support, imperfect look, and inhomogeneities demonstrating biased signal estimates and potentially extreme vulnuerability to undernulled interference and surprise jammers.

Original languageEnglish (US)
Pages (from-to)325-327
Number of pages3
JournalIEEE Signal Processing Letters
Issue number12
StatePublished - Dec 1 1998
Externally publishedYes


  • Array response mismatch
  • Beamformer
  • Calibration errors
  • Covariance mismatch
  • Inhomogeneous
  • MVDR
  • Nonstationary
  • PST
  • Pointing errors
  • Power selected training
  • Sample covariance
  • Tapering

ASJC Scopus subject areas

  • Signal Processing
  • Electrical and Electronic Engineering
  • Applied Mathematics


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