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DSP-Based Implementation of a Real-Time Sound Field Visualization System Using SONAH Algorithm

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Advances in Harmony Search, Soft Computing and Applications (ICHSA 2019)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1063))

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Abstract

Many near-field acoustical holography (NAH) algorithms, including statistically optimized near-field acoustical holography (SONAH), have been well developed and verified via computer simulations. In this paper, design, implementation, and performance of a DSP-based real-time system for sound field visualization using SONAH algorithm is discussed. The prototype system consists of a 24-element microphone array connected to a TMS320C6678 DSP daughterboard hosted by a PC, validated by both computer simulation and experiments performed in an anechoic chamber, visualizing the sound field of a reconstruction plane in front of two speakers. The system has prospective practical applicability in industry applications.

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Correspondence to Jun Yang .

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Zhang, Z., Wu, M., Yang, J. (2020). DSP-Based Implementation of a Real-Time Sound Field Visualization System Using SONAH Algorithm. In: Kim, J., Geem, Z., Jung, D., Yoo, D., Yadav, A. (eds) Advances in Harmony Search, Soft Computing and Applications. ICHSA 2019. Advances in Intelligent Systems and Computing, vol 1063. Springer, Cham. https://doi.org/10.1007/978-3-030-31967-0_12

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