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Direction-of-arrival estimation using separated subarrays
Conference Record of the Thirty-Fourth Asilomar Conference on Signals, Systems and Computers (Cat. No.00CH37154), 2002In this paper we study direction-of-arrival (DOA) estimation with a particular class of sparse linear arrays, characterized by two widely separated subarrays. Since a large array aperture is obtained with a small number of elements, this structure can provide very accurate angle estimates at a reasonable cost, but at the expense of near ambiguities ...
F. Athley, C. Engdahl
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Estimation of Direction of Arrival Algorithms
2013MUSIC and ESPRIT algorithms are two of the most widely known and used signal source estimation techniques. This study aims at the comparison of the performances of these two techniques. In this study, the signals coming toward uniform linear antenna arrays are estimated using MUSIC and ESPRIT algorithms.
Orul, T., AFACAN, ERKAN
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On spatial smoothing for direction-of-arrival estimation of coherent signals
IEEE Transactions on Acoustics Speech and Signal Processing, 1985T. Shan, M. Wax, T. Kailath
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Performance study of conditional and unconditional direction-of-arrival estimation
IEEE Transactions on Acoustics Speech and Signal Processing, 1990P. Stoica, A. Nehorai
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Deep Binaural Direction of Arrival Estimation
The objective of binaural direction of arrival (DoA) estimation is to find the DoA of a sound source by measuring the sound field with a binaural array. This field increasingly applies deep learning to this task, particularly convolutional neural networks which are trained on relatively raw representations of the binaural audio.openaire +1 more source
Direction of Arrival Estimation and Related Topics
2011In this chapter, we apply maximum likelihood (ML) estimation methods to estimate the direction of arrival (DOA), or angle of arrival (AOA), of one or more signal sources, using data received by the elements of an N-element antenna array. The Cramer-Rao (CR) lower bound on angle estimation error is derived under several different signal assumptions. The
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Direction of arrival estimation by Perona & Malik regularized Richardson-Lucy deconvolution.
Journal of the Acoustical Society of AmericaTianfeng Huang +4 more
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