On pre-filtering strategies for the GCC-Phat algorithm

Hong Goo Kang, Michael Graczyk, Jan Skoglund

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Citations (Scopus)

Abstract

In this paper, we investigate the impact of the pre-filtering method to generalized cross-correlation (GCC) based direction of arrival (DOA) estimation. The role of pre-filtering is either to emphasize or deemphasize certain frequency components before computing cross power spectrum. However, its impact or relation to environmental variation, e.g., in noisy environments, has not been clearly studied yet. An efficient pre-filter should consider the relative importance of individual frequency components and adaptively change its related parameters based on environmental variations. We first investigate the relationship between conventional pre-filtering functions and power normalization factors and its dependency on signal-to-noise-ratio (SNR) in various noisy environments. Then, we experimentally show that it is helpful to introduce a Wiener-like gain function into the pre-filtering process to efficiently design a generalized rule to determine control parameters. By analyzing the importance of parameter estimation errors in the estimation ofWiener filter parameters, e.g. noise power spectral density (PSD) and the a priori SNR, this paper proposes an efficient estimation strategy to design a pre-filter for robust GCC based DOA estimation.

Original languageEnglish
Title of host publication2016 International Workshop on Acoustic Signal Enhancement, IWAENC 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509020072
DOIs
Publication statusPublished - 2016 Oct 19
Event15th International Workshop on Acoustic Signal Enhancement, IWAENC 2016 - Xi'an, China
Duration: 2016 Sep 132016 Sep 16

Other

Other15th International Workshop on Acoustic Signal Enhancement, IWAENC 2016
CountryChina
CityXi'an
Period16/9/1316/9/16

Fingerprint

cross correlation
Direction of arrival
filters
arrivals
Signal to noise ratio
signal to noise ratios
Power spectral density
Power spectrum
Parameter estimation
power spectra

All Science Journal Classification (ASJC) codes

  • Signal Processing
  • Acoustics and Ultrasonics

Cite this

Kang, H. G., Graczyk, M., & Skoglund, J. (2016). On pre-filtering strategies for the GCC-Phat algorithm. In 2016 International Workshop on Acoustic Signal Enhancement, IWAENC 2016 [7602964] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IWAENC.2016.7602964
Kang, Hong Goo ; Graczyk, Michael ; Skoglund, Jan. / On pre-filtering strategies for the GCC-Phat algorithm. 2016 International Workshop on Acoustic Signal Enhancement, IWAENC 2016. Institute of Electrical and Electronics Engineers Inc., 2016.
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Kang, HG, Graczyk, M & Skoglund, J 2016, On pre-filtering strategies for the GCC-Phat algorithm. in 2016 International Workshop on Acoustic Signal Enhancement, IWAENC 2016., 7602964, Institute of Electrical and Electronics Engineers Inc., 15th International Workshop on Acoustic Signal Enhancement, IWAENC 2016, Xi'an, China, 16/9/13. https://doi.org/10.1109/IWAENC.2016.7602964

On pre-filtering strategies for the GCC-Phat algorithm. / Kang, Hong Goo; Graczyk, Michael; Skoglund, Jan.

2016 International Workshop on Acoustic Signal Enhancement, IWAENC 2016. Institute of Electrical and Electronics Engineers Inc., 2016. 7602964.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Kang HG, Graczyk M, Skoglund J. On pre-filtering strategies for the GCC-Phat algorithm. In 2016 International Workshop on Acoustic Signal Enhancement, IWAENC 2016. Institute of Electrical and Electronics Engineers Inc. 2016. 7602964 https://doi.org/10.1109/IWAENC.2016.7602964