Evaluation Strategies for the Optimization of Line Source Arrays

Straube F, Schultz F, Makarski M, Spors S, Weinzierl S. Evaluation Strategies for the Optimization of Line Source Arrays. In: AES Conference: 59th International Conference: Sound Reinforcement Engineering and Technology. Audio Engineering Society; 2015. Paper 2-1. Available from: https://aes.org/publications/elibrary-page/?id=17829

@inproceedings{Straube2015_17829,
  author = {Straube, Florian and Schultz, Frank and Makarski, Michael and Spors, Sascha and Weinzierl, Stefan},
  title = {{Evaluation Strategies for the Optimization of Line Source Arrays}},
  booktitle = {AES Conference: 59th International Conference: Sound Reinforcement Engineering and Technology},
  note = {Paper 2-1},
  year = {2015},
  month = jul,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=17829}
}

TY  - CPAPER
TI  - Evaluation Strategies for the Optimization of Line Source Arrays
AU  - Straube, Florian
AU  - Schultz, Frank
AU  - Makarski, Michael
AU  - Spors, Sascha
AU  - Weinzierl, Stefan
T2  - AES Conference: 59th International Conference: Sound Reinforcement Engineering and Technology
M1  - Paper 2-1
PY  - 2015
DA  - 2015/07/06
UR  - https://aes.org/publications/elibrary-page/?id=17829
PB  - Audio Engineering Society
LA  - en
AB  - Line source arrays (LSAs) are used for large scale sound reinforcement, aiming at the synthesis of highly spatial aliasing-free sound fields for the whole audio bandwidth. Numerical optimization of the loudspeakers' driving functions can considerably improve the homogeneity of the intended sound field. In this paper we propose enhanced visualization techniques characterizing the array performance. This may lead to a more convenient interpretation of the LSA radiation behavior. By additionally recommended technical quality measures the LSA design and the optimization requirements might be improved. The approach is exemplarily discussed for fictitious LSA models. Based on a least-mean-square error optimization using a loudspeaker weight energy constraint, the driving functions are derived. It is shown by means of the visualizations and measures why this optimization scheme being common practice in sound field synthesis applications is inappropriate for the problem at hand and that spatial aliasing has a large impact on the synthesized sound fields. We recommend to incorporate the proposed quality measures as criteria for future optimization approaches.
ER  -