Optimal Directional Pattern Design Utilizing Arbitrary Microphone Arrays: A Continuous-Wave Approach

Delikaris-Manias S, Valagiannopoulos CA, Pulkki V. Optimal Directional Pattern Design Utilizing Arbitrary Microphone Arrays: A Continuous-Wave Approach. In: AES Convention 134. Audio Engineering Society; 2013. Paper 8906. Available from: https://aes.org/publications/elibrary-page/?id=16806

@inproceedings{DelikarisManias2013_16806,
  author = {Delikaris-Manias, Symeon and Valagiannopoulos, Constantinos A. and Pulkki, Ville},
  title = {{Optimal Directional Pattern Design Utilizing Arbitrary Microphone Arrays: A Continuous-Wave Approach}},
  booktitle = {AES Convention 134},
  note = {Paper 8906},
  year = {2013},
  month = may,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=16806}
}

TY  - CPAPER
TI  - Optimal Directional Pattern Design Utilizing Arbitrary Microphone Arrays: A Continuous-Wave Approach
AU  - Delikaris-Manias, Symeon
AU  - Valagiannopoulos, Constantinos A.
AU  - Pulkki, Ville
T2  - AES Convention 134
M1  - Paper 8906
PY  - 2013
DA  - 2013/05/06
UR  - https://aes.org/publications/elibrary-page/?id=16806
PB  - Audio Engineering Society
LA  - en
AB  - A frequency-domain method is proposed for designing directional patterns from arbitrary microphone arrays employing the complex Fourier series. A target directional pattern is defined and an optimal set of sensor weights is determined in a least-squares sense, adopting a continuous-wave approach. It is based on discrete measurements with high spatial sampling ratio, which mitigates the potential aliasing effect. Fourier analysis is a common method for audio signal decomposition; however in this approach a set of criteria is employed to define the optimal number of Fourier coefficients and microphones for the decomposition of the microphone array signals at each frequency band. Furthermore, the low-frequency robustness is increased by smoothing the target patterns at those bands. The performance of the algorithm is assessed by calculating the directivity index and the sensitivity. Applications, such as synthesizing virtual microphones, beamforming, binaural, and loudspeaker rendering are presented.
ER  -