2.5D Near-field Reproduction in Higher Order Ambisonics
Wen-Bei Wang, Mao-Shen Jia, Chang-Chun Bao
Available Online December 2016.
- https://doi.org/10.2991/icwcsn-16.2017.88How to use a DOI?
- Higher order Ambisonics, 2.5D near-field reproduction, DM-NFC filter, 3D higher order loudspeaker.
- 2.5-dimensional (2.5D) sound field reproduction is a hot topic in acoustic signal processing, which overcomes the dimensionality mismatch (DM) problem between 2-dimensional (2D) sound field synthesis and practical sound sources. Based on the cylindrical/spherical harmonic expansion of Higher Order Ambisonics (HOA), a new method for 2.5D near-field reproduction is proposed in this paper. Firstly, a DM near-field corrected (DM-NFC) filter is proposed for restricting the 2.5D near-field distortion and achieving an efficient implementation. Secondly, we obtain the modified cylindrical harmonic expansion of the desired sound field based on cylindrical harmonic synthesis. Then, a general expression of the loudspeaker driving function is derived by using the concept of continuous loudspeaker array hypothesis. Finally, the proposed method is extended by using a circular array of 3-dimensional (3D) higher order (HO) loudspeakers, which provides a mode matching solution based on 3D wavefield translation. The test results indicate that the 2.5D near-field distortion is evidently eliminated by the proposed method. Furthermore, through using HO loudspeaker array, the proposed can significantly reduce the minimum number of loudspeakers for 2.5D near-field reproduction.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Wen-Bei Wang AU - Mao-Shen Jia AU - Chang-Chun Bao PY - 2016/12 DA - 2016/12 TI - 2.5D Near-field Reproduction in Higher Order Ambisonics BT - 3rd International Conference on Wireless Communication and Sensor Networks (WCSN 2016) PB - Atlantis Press SN - 2352-538X UR - https://doi.org/10.2991/icwcsn-16.2017.88 DO - https://doi.org/10.2991/icwcsn-16.2017.88 ID - Wang2016/12 ER -