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It is a challenging issue to design a robust broad-band direction-of-arrival (DOA) estimator at the cost of low computational complexity. Many algorithms accelerate localization while maintaining robustness by optimizing the grid search. Few algorithms pay attention to the cost function of DOA estimators. This paper presents a far-filed DOA estimator based upon a novel cost function for planar arrays...
Direction-of-arrival (DOA) estimation of a speech source has generated great interest in recent years. Traditional methods, such as the steered response power (SRP) estimator, make use of a multi-element microphone array and can perform well in the presence of moderate noises and reverberations. Those algorithms are particularly good for Gaussian source signals, while for non-Gaussian speech signals,...
In this paper, we present simulation and experimental studies of localization and source separation for a bio-complexity bird study based on a new wireless acoustic array node named Voxnet. The Approximate Maximum Likelihood (AML) method is used to estimate blindly the direction-of-arrivals (DOAs) of sources which can be used to both locate the sources using a DOA-based localization method and generate...
Compressive sensing (CS) is applied to enable real time direction of arrival (DoA) estimation in a wireless array sensor network by significantly reduce the amount of sensor data that needs to be transmitted over wireless channels. This is accomplished by (i) random sampling of data samples collected at sensor arrays, and (ii) transmitting only the sign-bit of the data samples over wireless channels...
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