Research of the improved mapping of acoustic correlated sources method
| Autor: | Min Li, Yuanwen Li, Chenxing Gao, Debin Yang |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
010302 applied physics
Beamforming Acoustics and Ultrasonics Anechoic chamber Computer science Computation Process (computing) 01 natural sciences Side lobe 0103 physical sciences Convergence (routing) Convex optimization Computer Science::Networking and Internet Architecture Reflection (physics) 010301 acoustics Algorithm Computer Science::Information Theory |
| Zdroj: | Applied Acoustics. 145:290-304 |
| ISSN: | 0003-682X |
| Popis: | Outstanding from other beamforming methods, the mapping of acoustic correlated sources (MACS) method has high resolution and can greatly reduce the computation amount in localizing the correlated sound sources. This study aims to overcome the drawback of MACS as insufficient sparsity resulting in excessive side lobes and deceleration in convergence speed. Those aims are achieved by the improved MACS (IMACS), relying on adaptively update the sparse constraint condition during convex optimization process. Localization maps of a pair of correlated sound sources in anechoic environment and in chamber with reflection are acquired, and some indexes are introduced to evaluate those maps. It is shown that IMACS has the similar localization error with MACS, and IMACS also has some advantages over MACS as follows. IMACS has less calculation burden, and its less quantity of side lobes and higher discrimination coefficient present better definition of the localized sound sources than MACS. The resolution of IMACS is also discussed in detail based on experimental analysis compared with other beamforming methods. |
| Databáze: | OpenAIRE |
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