TDOA-based Self-Calibration of Dual-Microphone Arrays

TDOA-based Self-Calibration of Dual-Microphone Arrays

Farmani, M. (Aalborg University)
Heusdens, R. (TU Delft Signal Processing Systems)
Pedersen, Michael Syskind (Oticon A/S)
Jensen, Jesper (Aalborg University)

2016-12-01

We consider the problem of determining the relative position of dual-microphone sub-arrays. The proposed solution is mainly developed for binaural hearing aid systems (HASs), where each hearing aid (HA) in the HAS has two microphones at a known distance from each other. However, the proposed algorithm can effortlessly be applied to acoustic sensor network applications. In contrast to most state-of-the-art calibration algorithms, which model the calibration problem as a non-linear problem resulting in high computational complexity, we model the calibration problem as a simple linear system of equations by utilizing a far-field assumption. The proposed model is based on target signals time-difference-of-arrivals (TDOAs) between the HAS microphones. Working with TDOAs avoids clock synchronization between sound sources and microphones, and target signals need not be known beforehand. To solve the calibration problem, we propose a least squares estimator which is simple and does not need any probabilistic assumptions about the observed signals.

far-field
Microphone array calibration
hearing aid,
DOA
TDOA

http://resolver.tudelft.nl/uuid:18d09e20-d69e-4c10-abb1-a66bfcdc0a48

https://doi.org/10.1109/eusipco.2016.7760322

IEEE, Piscataway, NJ

978-0-9928-6265-7

2016 24th European Signal Processing Conference, EUSIPCO 2016

EUSIPCO 2016, 2016-08-29 → 2016-09-02, Budapest, Hungary

Institutional Repository

conference paper

© 2016 M. Farmani, R. Heusdens, Michael Syskind Pedersen, Jesper Jensen