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Sampling Rate Offset Estimation in Acoustic Sensor Networks

Publication ,  Conference
Ganti, A; Krolik, J
Published in: IEEE Workshop on Statistical Signal Processing Proceedings
July 11, 2021

Acoustic sensor networks can achieve both a wide area coverage and coherent gain in a low-cost, scalable fashion. Their applications have been explored both in-air and underwater for robotic navigation, teleconferencing and target detection. While flexible and scalable, these networks bring new synchronization challenges to array processing. In this paper, we present methods for estimating the sampling rate offsets, or small deviations in sampling frequencies, of an entire collection of unsynchronized acoustic sensors in a single estimation procedure. We develop methods which improve upon existing techniques by leveraging the scale of the network to make the estimation more robust to noise and random source motion.

Duke Scholars

Published In

IEEE Workshop on Statistical Signal Processing Proceedings

DOI

ISBN

9781728157672

Publication Date

July 11, 2021

Volume

2021-July

Start / End Page

436 / 440
 

Citation

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Ganti, A., & Krolik, J. (2021). Sampling Rate Offset Estimation in Acoustic Sensor Networks. In IEEE Workshop on Statistical Signal Processing Proceedings (Vol. 2021-July, pp. 436–440). https://doi.org/10.1109/SSP49050.2021.9513831
Ganti, A., and J. Krolik. “Sampling Rate Offset Estimation in Acoustic Sensor Networks.” In IEEE Workshop on Statistical Signal Processing Proceedings, 2021-July:436–40, 2021. https://doi.org/10.1109/SSP49050.2021.9513831.
Ganti A, Krolik J. Sampling Rate Offset Estimation in Acoustic Sensor Networks. In: IEEE Workshop on Statistical Signal Processing Proceedings. 2021. p. 436–40.
Ganti, A., and J. Krolik. “Sampling Rate Offset Estimation in Acoustic Sensor Networks.” IEEE Workshop on Statistical Signal Processing Proceedings, vol. 2021-July, 2021, pp. 436–40. Scopus, doi:10.1109/SSP49050.2021.9513831.
Ganti A, Krolik J. Sampling Rate Offset Estimation in Acoustic Sensor Networks. IEEE Workshop on Statistical Signal Processing Proceedings. 2021. p. 436–440.

Published In

IEEE Workshop on Statistical Signal Processing Proceedings

DOI

ISBN

9781728157672

Publication Date

July 11, 2021

Volume

2021-July

Start / End Page

436 / 440