Memory-Reduced DOA Estimators While Using Cyclic-Symmetrical Array

Ofer Schwartz

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


Home-assistant devices usually use microphone arrays for voice capture and enhancement via beamforming. A key parameter for beamforming is the direction of arrival (DOA) of the relevant speaker. The main disadvantage of DOA estimation algorithms is high memory usage due to the need for a steering vector to be prepared and saved for each candidate DOA. Frequently, a cyclic-symmetrical array is used within these devices. In this paper, a technique for reducing the memory usage for such arrays is shown. Moreover, a technique for blind estimation of the fundamental angle is described. Finally, as an experimental example, a cyclic-symmetrical array with 17 microphones is used for DOA estimation using the generalized cross correlation (GCC) technique and the proposed memory reduction technique is demonstrated.

Original languageEnglish
Title of host publication30th European Signal Processing Conference, EUSIPCO 2022 - Proceedings
PublisherEuropean Signal Processing Conference, EUSIPCO
Number of pages4
ISBN (Electronic)9789082797091
StatePublished - 2022
Externally publishedYes
Event30th European Signal Processing Conference, EUSIPCO 2022 - Belgrade, Serbia
Duration: 29 Aug 20222 Sep 2022

Publication series

NameEuropean Signal Processing Conference
ISSN (Print)2219-5491


Conference30th European Signal Processing Conference, EUSIPCO 2022

Bibliographical note

Publisher Copyright:
© 2022 European Signal Processing Conference, EUSIPCO. All rights reserved.


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