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A DOUBLE-CROSS-CORRELATION PROCESSOR FOR BLIND SAMPLING RATE OFFSET ESTIMATION IN ACOUSTIC SENSOR NETWORKS
![](https://sigport.org/sites/default/files/styles/home/public/ICASSP_2019_ID_1899_poster_0.png?itok=pysHHSPS)
- Citation Author(s):
- Submitted by:
- Aleksej Chinaev
- Last updated:
- 3 September 2021 - 10:42am
- Document Type:
- Poster
- Document Year:
- 2019
- Event:
- Presenters:
- Gerald Enzner
- Paper Code:
- AASP-P9
- Categories:
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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.