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Error-analysis and optimization of distributed microphone-arrays for advanced multichannel signal-processing

 
: Willuweit, Christopher; Wellmann, Jan; Gerlach, Stephan; Goetze, Stefan

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
S.586-588
Deutsche Jahrestagung für Akustik (DAGA) <41, 2015, Nürnberg>
Englisch
Konferenzbeitrag
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.

: http://publica.fraunhofer.de/dokumente/N-349934.html