Broadband Superdirective Beamforming with a Random Steering Vector

Xianghui Wang, Jacob Benesty, Israel Cohen, Jingdong Chen

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In this paper, we address the problem of designing broad band super directive beamformers under some uncertainties in the direction of arrival (DoA) of the desired source. We formulate the signal model with a random steering vector, and propose a set of maximum signal-To-noise ratio gain (MSNRG) beamformers from the perspective of maximizing the signal-To-noise ratio (SNR) gain. The MSNRG beamformers can achieve maximum SNR gain and almost frequency-invariant beam patterns. Preliminary simulation results illustrate the properties and advantages of the proposed beamformers.

Original languageEnglish
Title of host publication2018 IEEE International Conference on the Science of Electrical Engineering in Israel, ICSEE 2018
ISBN (Electronic)9781538663783
DOIs
StatePublished - 2 Jul 2018
Event2018 IEEE International Conference on the Science of Electrical Engineering in Israel, ICSEE 2018 - Eilat, Israel
Duration: 12 Dec 201814 Dec 2018

Publication series

Name2018 IEEE International Conference on the Science of Electrical Engineering in Israel, ICSEE 2018

Conference

Conference2018 IEEE International Conference on the Science of Electrical Engineering in Israel, ICSEE 2018
Country/TerritoryIsrael
CityEilat
Period12/12/1814/12/18

Keywords

  • Microphone arrays
  • fixed beamforming
  • random steering vector
  • signal-To-noise ratio (SNR) gain
  • superdirective beamforming

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering

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