Sampling Rate Offset Estimation in Acoustic Sensor Networks

Conference Paper

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.

Full Text

Duke Authors

Cited Authors

  • Ganti, A; Krolik, J

Published Date

  • July 11, 2021

Published In

  • Ieee Workshop on Statistical Signal Processing Proceedings

Volume / Issue

  • 2021-July /

Start / End Page

  • 436 - 440

International Standard Book Number 13 (ISBN-13)

  • 9781728157672

Digital Object Identifier (DOI)

  • 10.1109/SSP49050.2021.9513831

Citation Source

  • Scopus