Skip to main navigation Skip to search Skip to main content

Performance analysis of the data subtraction based robust beamfromer

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

Abstract

Performance of the sample matrix inversion (SMI) beamformer degrades severely due to the finite sample size effect and the arrival angle mismatch problem. A simple technique to provide robustness to the conventional SMI beamformer is to block the desired signal from the received data before calculating the beamformer's weight vector, which leads to the data subtraction based SMI (S-SMI) beamformer. In this paper,d we analyse the performance of the S-SMI beamformer in term of its output signal-to-interference-plus-noise ratio (SINR) in the presence of both finite sample size effect and arrival angle mismatch problem.

Original languageEnglish
Title of host publicationSensor Signal Processing for Defence, SSPD 2011
Edition4
DOIs
Publication statusPublished - Sept 2011
EventSensor Signal Processing for Defence, SSPD 2011 - London, United Kingdom
Duration: 27 Sept 201129 Sept 2011

Publication series

NameIET Seminar Digest
Number4
Volume2011

Conference

ConferenceSensor Signal Processing for Defence, SSPD 2011
Country/TerritoryUnited Kingdom
CityLondon
Period27/09/1129/09/11

Keywords

  • Data subtraction
  • robust beamformer
  • SINR performance

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

Fingerprint

Dive into the research topics of 'Performance analysis of the data subtraction based robust beamfromer'. Together they form a unique fingerprint.

Cite this