Skip to main navigation Skip to search Skip to main content

Performance analysis for finite sample MVDR beamformer with forward backward processing

  • Lei Zhang*
  • , Wei Liu
  • , Lei Yu
  • *Corresponding author for this work
  • University of Sheffield

Research output: Contribution to journalArticlepeer-review

Abstract

The employment of forwardbackward (FB) processing to both batch and adaptive beamformers provides a superior performance than the forward only (FO) algorithm. Based on the finite-sample minimum variance distortionless response (MVDR) beamformer, a set of closed-form expressions for the variance of the weight vector, the output signal-to-interference-plus-noise ratio (SINR) and the mean-square error (MSE) is derived, for both FB and FO algorithms. As shown in our analysis, all errors of the FB algorithm are only approximately half of the FO case.

Original languageEnglish
Article number5706378
Pages (from-to)2427-2431
Number of pages5
JournalIEEE Transactions on Signal Processing
Volume59
Issue number5
DOIs
StatePublished - May 2011
Externally publishedYes

Keywords

  • Finite sample
  • MSE
  • MVDR beamformer
  • SINR
  • Wishart distribution
  • forward backward

Fingerprint

Dive into the research topics of 'Performance analysis for finite sample MVDR beamformer with forward backward processing'. Together they form a unique fingerprint.

Cite this