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Optimizing secondary source placement by bidirectional stepwise iteration for sound field reproduction.
Yidong Liu1, Kean Chen1, Lei Yang1
1School of Marine Science and Technology, Northwestern Polytechnical University, Xi'an Shaanxi 710069, People's Republic of China.
The Journal of the Acoustical Society of America
|March 10, 2026
Summary
This study introduces a bidirectional stepwise iteration method for optimizing loudspeaker placement in sound field reproduction. This approach avoids local optima, improving sound reproduction performance compared to unidirectional methods.
Area of Science:
- Acoustics
- Signal Processing
- Computational Auditory Scene Analysis
Background:
- Sound field reproduction relies on precise loudspeaker placement for optimal performance.
- Existing iterative optimization methods for source placement often suffer from local optima due to unidirectional selection or removal.
- Effective secondary source placement is crucial for achieving desired sound fields.
Purpose of the Study:
- To propose and validate a novel bidirectional stepwise iteration method for secondary source placement optimization.
- To overcome the limitations of unidirectional iterative methods in sound field reproduction.
- To analyze the impact of factors like source number and room reverberation on performance.
Main Methods:
- A bidirectional stepwise iteration algorithm for secondary source placement.
- In each iteration: select two best contributing loudspeakers, remove one least contributing source.
- Validation through simulations and analysis of a public experimental dataset.
Main Results:
- The proposed bidirectional method demonstrates a reduced likelihood of getting stuck in local optima.
- Improved sound reproduction performance compared to unidirectional iterative optimization techniques.
- Analysis of the influence of secondary source count and room reverberation on performance.
Conclusions:
- Bidirectional stepwise iteration is an effective strategy for optimizing secondary source placement in sound field reproduction.
- The proposed method offers superior performance and robustness against local optima.
- Further research can explore computational complexity and real-world acoustic environments.
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