Yue Kan

In the sound localization system with the Time Difference of Arrival, due to the complex array structure and the numerous sensors, etc., the localization accuracy of single-array targets deteriorates significantly in the presence of environmental noise and a considerable distance. Aiming at this problem, a novel multi-array fusion localization is proposed in this letter. This approach initially estimates the target locations by each single array to obtains the spatial lines separately. Subsequently, the suboptimal target locations is obtained based on the geometric relationship between the spatial lines. Finally, through solving the equation constructed by the shortest distance between suboptimal target locations based on the least square method and obtains the optimal target location is obtained. Furthermore, this paper introduces an improved particle swarm optimization algorithm to solve the data fusion equation. Simulations and experiments using a self built localization platform are conducted to validate the proposed method. The results indicate that the fusion localization method proposed in this letter possesses higher accuracy and stability.

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Accurate acoustic source localization at a low sampling rate (less than 10 kHz) is still a challenging problem for small portable systems, especially for a multitasking micro-embedded system. A modification of the generalized cross-correlation (GCC) method with the up-sampling (US) theory is proposed and defined as the US-GCC method, which can improve the accuracy of the time delay of arrival (TDOA) and source location at a low sampling rate. In this work, through the US operation, an input signal with a certain sampling rate can be converted into another signal with a higher frequency. Furthermore, the optimal interpolation factor for the US operation is derived according to localization computation time and the standard deviation (SD) of target location estimations. On the one hand, simulation results show that absolute errors of the source locations based on the US-GCC method with an interpolation factor of 15 are approximately from 1/15- to 1/12-times those based on the GCC method, when the initial same sampling rates of both methods are 8 kHz. On the other hand, a simple and small portable passive acoustic source localization platform composed of a five-element cross microphone array has been designed and set up in this paper. The experiments on the established platform, which accurately locates a three-dimensional (3D) near-field target at a low sampling rate demonstrate that the proposed method is workable.