Özyi̇nelemeli̇ uzamsal özbaǧlanimli modelleme i̇le gürbüz uyarlamali hüzme oluşturma

Translated title of the contribution: Robust adaptive beamforming via recursive spatial autoregressive modeling

Özgür Gültekin*, Işin Erer

*Corresponding author for this work

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

Abstract

In this work, we propose a new diagonal loading approach to improve the robustness of the standard Capon beamformer. For this purpose, the array is analyzed using spatial autoregressive modeling. The proposed regularization method is orderrecursive, which allows the definition of a Levinson-like algorithm. This eliminates the need to invert the regularized array covariance matrix, essential for all types of Capon beamformers. The proposed diagonal-loading approach involves two regularization parameters, thereby increasing the robustness compared to one-parameter diagonal-loading approaches.

Translated title of the contributionRobust adaptive beamforming via recursive spatial autoregressive modeling
Original languageTurkish
Title of host publication2011 IEEE 19th Signal Processing and Communications Applications Conference, SIU 2011
Pages746-749
Number of pages4
DOIs
Publication statusPublished - 2011
Event2011 IEEE 19th Signal Processing and Communications Applications Conference, SIU 2011 - Antalya, Turkey
Duration: 20 Apr 201122 Apr 2011

Publication series

Name2011 IEEE 19th Signal Processing and Communications Applications Conference, SIU 2011

Conference

Conference2011 IEEE 19th Signal Processing and Communications Applications Conference, SIU 2011
Country/TerritoryTurkey
CityAntalya
Period20/04/1122/04/11

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