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.
|Title of host publication||2016 International Workshop on Acoustic Signal Enhancement, IWAENC 2016|
|Publisher||Institute of Electrical and Electronics Engineers Inc.|
|Publication status||Published - 2016 Oct 19|
|Event||15th International Workshop on Acoustic Signal Enhancement, IWAENC 2016 - Xi'an, China|
Duration: 2016 Sep 13 → 2016 Sep 16
|Name||2016 International Workshop on Acoustic Signal Enhancement, IWAENC 2016|
|Other||15th International Workshop on Acoustic Signal Enhancement, IWAENC 2016|
|Period||16/9/13 → 16/9/16|
Bibliographical notePublisher Copyright:
© 2016 IEEE.
All Science Journal Classification (ASJC) codes
- Signal Processing
- Acoustics and Ultrasonics