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Hier finden Sie wissenschaftliche Publikationen aus den Fraunhofer-Instituten. Error-analysis and optimization of distributed microphone-arrays for advanced multichannel signal-processing
| Becker, S. ; TU Darmstadt; Deutsche Gesellschaft für Akustik -DEGA-, Berlin: Fortschritte der Akustik. DAGA 2015 : 41. Jahrestagung für Akustik, 16. - 19. März 2015, Nürnberg, DVD Oldenburg: DEGA, 2015 ISBN: 978-3-939296-08-9 pp.586-588 |
| Deutsche Jahrestagung für Akustik (DAGA) <41, 2015, Nürnberg> |
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| English |
| Conference Paper |
| Fraunhofer IDMT () |
Abstract
Real life applications in large scale audio-monitoring scenarios such as smart cities require cost-efficient high-performance audio-hardware that can be used on existing data infrastructure. Advanced multichannel signal-processing applications, for example beamforming and localization algorithms, require isosynchronous input signals with low channel-interference.
In this paper, the influence of hardware-designs of distributed microphone arrays on the signal-performance are examined. The most important characteristics for multichannel signal processing applications are channel crosstalk, signal to noise ratio, correlated noise, word-clock jitter, and signal latency.
Sources of electrical interferences, correlated noise and corresponding error-paths in the analogue front-end are identified and analysed using error-models. Hardware optimisations for low noise and low correlation based on these findings are proposed. Distributed microphone-arrays require precise word-clock synchronisation between all hardware capturing-devices. Word-clock jitter has a significant influence on the overall systems performance.
A novel distributed microphone-array based on FPGA and UDP/IP-transport and -word-clock distribution has been developed and implemented. The performance of the novel system on multichannel algorithms is compared with commercially available audio capturing devices.