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We address the problem of locating multiple sources from the Euclidean distance matrix (EDM), which can be obtained from the received signal strength or time of arrival measurements. In EDM-based localization, EDM is usually corrupted by some inevitable factors, such as non-line-of-sight propagation, hardware failures, and strong interference. Note that EDM is a low-rank matrix but not a positive...
A multiple spherical arrays structure is proposed to provide an alternative design to the traditional single spherical array for the spherical harmonic decomposition, to obtain better localization performance. The new structure consists of several identical spheres in a given area, and the microphones are placed uniformly on each sphere. The spherical harmonic analysis algorithm using the multiple...
Passive source localization has been the focus of considerable research efforts due to its usefulness in various applications. This paper performs a fundamental investigation of whether the gain ratios of arrival (GROAs) can be utilized in conjunction with the time differences of arrival (TDOAs) to improve the multiple sources localization accuracy with erroneous sensor positions. It's an urgent need...
Passive source localization has been the focus of considerable research efforts due to its usefulness in various applications. This paper performs a fundamental investigation of whether the gain ratios of arrival (GROAs) can be utilized in conjunction with the range differences of arrival (RDOAs) to improve the multiple sources localization accuracy in the presence of sensor location uncertainties...
Techniques to estimate the time delay of arrival (TDOA) using the measurements of the acoustic signals by microphones have been studied in various fields such as the robot auditory system, teleconference system and speech recognition system. One common method of determining TDOA is to compute the cross correlation function. The Generalized Cross Correlation (GCC) method, which calculates the correlation...
In this paper, we propose a new method based on a coherent source spectral estimation for solving the permutation problem of frequency-domain blind source separation (BSS). It combines the robustness of the State Coherence Transform (SCT) to recursively estimate a smooth phase spectrum associated with each source and the precision of the inter-frequency correlation to solve for a correct permutation...
A variety of methods for sound source localization have been developed recently and applied to several applications such as surveillance, auditory scene analysis for hearing aids, robot auditory system and so on. In the previous work, we proposed the sound source localization using the spatially mapped GCC functions based on TDOA under the single source assumption for robot auditory system. However,...
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