Paper Info
Title
TDOA-based self-calibration of dual-microphone arrays.
Abstract
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 front 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.
Year
Venue
Keywords
2016
European Signal Processing Conference
Microphone array calibration,hearing aid,DOA,TDOA,far-field
Field
DocType
ISSN
Least squares,Hearing aid,Computer science,Algorithm,Clock synchronization,Multilateration,Acoustics,Probabilistic logic,Calibration,Microphone,Computational complexity theory
Conference
2076-1465
Citations 
PageRank 
References 
0
0.34
0
Authors
4
Name
Order
Citations
PageRank
Mojtaba Farmani1123.19
Richard Heusdens298596.45
Michael Syskind Pedersen38111.33
Jesper Jensen41548133.47