Insights Into the MMSE-Based Frequency-Invariant Beamformers for Uniform Circular Arrays

Jinfu Wang, Feiran Yang*, Jun Yang*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

13 Citations (Scopus)

Abstract

This letter provides new insights into the minimum mean square error (MMSE)-based frequency-invariant beamformer with the uniform circular array (FIB-UCA). By exploiting the symmetry of the UCA, we derive an explicit form of the white noise gain (WNG), the directivity factor (DF) and the MSE, and also derive the corresponding approximate expressions at low frequencies. We then investigate the impact of the look direction on the performance of the MMSE-based FIB-UCA. Interestingly, we further prove that for a UCA with the fixed aperture, the MMSE-based FIB with 2 N microphones achieves a similar WNG as that with 4 N microphones at low frequencies if the Nth-order beampattern is steered to microphone angles. We also derive a unified explicit form of weighting vector and reveal that the MMSE-based FIB-UCA reduces to the Jacobi-Anger expansion-based differential beamformer with the UCA at low frequencies.

Original languageEnglish
Pages (from-to)2432-2436
Number of pages5
JournalIEEE Signal Processing Letters
Volume29
DOIs
Publication statusPublished - 2022
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 1994-2012 IEEE.

ASJC Scopus Subject Areas

  • Signal Processing
  • Electrical and Electronic Engineering
  • Applied Mathematics

Keywords

  • frequency-invariant beamformer
  • minimum mean square error
  • Uniform circular array

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