A closed-form location estimator for use with room environment microphone arrays

Abstract

The linear intersection (LI) estimator, a closed-form method for the localization of source positions given sensor array time-delay estimate information, is presented. The LI estimator is shown to be robust and accurate, to closely model the ML estimator, and to outperform a benchmark algorithm. The computational complexity of the LI estimator is suitable for use in real-time microphone-array applications where search-based location algorithms may be unfeasible.

Source localization for multiple speech sources using low complexity non-parametric source separation and clustering

“…When employing multiple sensors arrays for source localization in the far field, intersecting DOA estimates from different sensor arrays yields the physical location of the source [9]. In the presence of multiple sources, there are multiple DOA estimates at each sensor array and also multiple combinations of intersection points, many of which do not correspond to real physical sources.…”

Maximum likelihood multiple-source localization using acoustic energy measurements with wireless sensor networks

“…In sonar signal processing, the focus is on locating underwater acoustic sources using an array of hydrophones [4]. In video conference and multimedia human computer interface applications, microphone arrays have been developed to locate and track speakers head position in a room environment [6]- [12]. Acoustic signatures have also been used to estimate vehicle locations in an open-field sensor network [13], [14].…”

“…DOA can be estimated by exploiting the phase difference measured at receiving sensors [15]- [19] and is applicable when the acoustic source emits a coherent, narrowband signal. TDOA is suitable for broadband acoustic source localization and has been extensively investigated [5], [6], [13], [14], [20], [21]. It requires accurate measurements of the relative time delay between sensor nodes.…”

Multichannel speech separation and localization by frequency assignment

“…Recently, a great deal of research has addressed sound source localization by using microphone arrays [18][19][20][21][22][23]. The understanding of the spatial position of sound is used in noise reduction, sound source tracking, and speech emphasis.…”