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A DOUBLE-CROSS-CORRELATION PROCESSOR FOR BLIND SAMPLING RATE OFFSET ESTIMATION IN ACOUSTIC SENSOR NETWORKS

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Citation Author(s):
Aleksej Chinaev, Philipp Thuene, and Gerald Enzner
Submitted by:
Aleksej Chinaev
Last updated:
3 September 2021 - 10:42am
Document Type:
Poster
Document Year:
2019
Event:
Presenters Name:
Gerald Enzner
Paper Code:
AASP-P9

Abstract 

Abstract: 

Signal synchronization in wireless acoustic sensor networks requires an accurate estimation of the sampling rate offset (SRO) inevitably present in signals acquired by sensors of ad-hoc networks. Although some sophisticated methods for blind SRO estimation have been recently proposed in this very young field of research, there is still a need for the development of new ideas and concepts especially regarding robust approaches with low computational complexity. We therefore propose a novel time-domain method based on the calculation of a double-cross-correlation function in this contribution. Experimental evaluation of the introduced approach in a challenging acoustic environment and comparison with a state-of-the-art frequency-domain method confirms the high accuracy and low computational load of the proposed technique.

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ICASSP_2019_ID_1899_poster.pdf

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