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.@en

In this paper, we present a localization algorithm which simultaneously estimates the locations of the target sound sources and dual-microphone sub-arrays using time-of-flight (TOF) measurements of the target signals. The proposed solution is mainly developed for a binaural hearing aid system (HAS) which consists of two hearing aids (HAs) mounted on the ears of a user. Each HA has two microphones at a known distance from each other, but the relative locations of the HAs are unknown. In this paper, we aim to find the relative locations of the HAs and the locations of the target sources. The main contribution of this paper is in modeling the localization problem as a simple linear system of equations, which markedly decreases the computation overhead in contrast to most state-of-the-art localization algorithms, which model the problem as a non-linear problem resulting in higher computational complexity. The proposed algorithm requires at least two sound sources with different locations to solve the localization problem in 2D.@en

In this paper, we present a localization algorithm which simultaneously estimates the locations of the target sound sources and dual-microphone sub-arrays using time-of-flight (TOF) measurements of the target signals. The proposed solution is mainly developed for a binaural hearing aid system (HAS) which consists of two hearing aids (HAs) mounted on the ears of a user. Each HA has two microphones at a known distance from each other, but the relative locations of the HAs are unknown. In this paper, we aim to find the relative locations of the HAs and the locations of the target sources. The main contribution of this paper is in modeling the localization problem as a simple linear system of equations, which markedly decreases the computation overhead in contrast to most state-of-the-art localization algorithms, which model the problem as a non-linear problem resulting in higher computational complexity. The proposed algorithm requires at least two sound sources with different locations to solve the localization problem in 2D.@en