Abstract
In wireless acoustic sensor networks (WASNs), usually each sensor node has an individual clock source and captures the acoustic sources asynchronously. Due to the independent oscillators, a sampling rate offset (SRO) is inevitable between different devices. The SRO has an adverse effect on the performance of algorithms. In this work, we propose a method for estimating the SROs and time difference of arrivals (TDOAs) jointly. The SROs and TDOAs are firstly approximated by a linear-phase difference model in the short-time Fourier transform domain, and then estimated by a least-squares estimator. Further, we analyze the Cramer-Rao lower bound (CRLB) for the considered estimator. Simulation results show that for both SRO estimation and source localization problems, the proposed method achieves an improvement for asynchronous WASNs.
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