Results 231 to 240 of about 61,377 (265)
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Estimation of the direction of arrival of narrowband signals
Proceedings of Third International Conference on Electronics, Circuits, and Systems, 2002In this paper, we propose a new method called "Enhanced forward/backward spatial filtering (Enhanced FBsf)" to estimate the direction of arrival (DOA) of multiple narrowband coherent sources. This approach is a particular signal enhancement estimator that minimizes the effects of the sensor noise and improves significantly the source resolution.
Andreas Delis, George Papadopoulos
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Estimation of the direction of arrival of water waves
[Proceedings] ICASSP 91: 1991 International Conference on Acoustics, Speech, and Signal Processing, 1991The direction-of-arrival (DOA) of water waves is an important design consideration for construction. The authors propose two methods to estimate the DOA from records of pressure sensors deployed on the sea bottom. These methods are based on broadband noise subspace and signal subspace multiple signal characterization.
Constantino Rago, Carlos H. Muravchik
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Sparse Direction-of-Arrival Estimation with Directive Coprime Arrays
2018 IEEE International Symposium on Antennas and Propagation & USNC/URSI National Radio Science Meeting, 2018This paper proposes a sparse direction of arrival (DOA) estimation method for directive coprime arrays. The complex radiation patterns are extracted using an electromagnetic simulator and then incorporated in the DOA estimation. Three DOA algorithms are compared including Capon, MUSIC, and Lasso based on compressive sensing (CS).
Saleh A. Alawsh +3 more
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Direction-of-Arrival Estimation using a Direct-Data Approach
IEEE Transactions on Aerospace and Electronic Systems, 2011This paper presents a direct-data (DD) counterpart to the covariance-based (CB) algorithm for direction-of-arrival (DOA) estimation. The proposed DD-DOA scheme provides reduced computational complexity as compared with other ESPRIT variations, filling in a theoretical gap not covered by previously presented schemes.
Tadeu N. Ferreira +2 more
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Methods of direction-of-arrival
[1991] IEEE Pacific Rim Conference on Communications, Computers and Signal Processing Conference Proceedings, 2002The direction-of-arrival (DOA) problem is of interdisciplinary interest, and a number of algorithms have been developed for its solution. These include beamforming, maximum-likelihood, least squares error modeling, and signal and noise subspace methods. A unifying development of these algorithms is presented. >
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On single snapshot direction-of-arrival estimation
2017 IEEE International Conference on Wireless for Space and Extreme Environments (WiSEE), 2017There are many algorithms for direction-of-arrival (DoA) estimation in array signal processing. Most of the work is carried out in scenarios with a large number of available snapshots. That is, received signals are sampled for a certain time duration. This paper focuses on worst case scenarios of having only one signal snapshot available, while trying ...
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A novel direction of arrival estimator
Journal of Electronics (China), 2004A Direction Of Arrival(DOA) estimator based on the signal separation principle is introduced, and one of representative multidimensional estimators is established by introducing Matrix Operator projection signal steering Vector Excision(MOVE) operation.
Chao Shao, Guangyue Lu, Zheng Bao
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Direction of arrival estimation by subspace methods
International Conference on Acoustics, Speech, and Signal Processing, 2002It is demonstrated that a Bayesian analysis can be simplified and can lead to a practical direction-of-arrival (DOA) estimator. This estimator is remarkably similar to the MUSIC algorithm, but has a threshold which is significantly lower than that for MUSIC. The reason for this improvement in performance is identified.
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Voice Direction-Of-Arrival Conversion
2023 IEEE 33rd International Workshop on Machine Learning for Signal Processing (MLSP), 2023I-Chun Chern +5 more
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Subspace estimators of direction of arrival
Conference Record of the Thirty-Eighth Asilomar Conference on Signals, Systems and Computers, 2004., 2005We consider in this paper a class of techniques for the estimation of the direction of arrival of a narrowband signal. Eigenvectors of a spectral covariance matrix corresponding to a number of the lowest eigenvalues are used to estimate the bearing. It is shown that the estimator has a non-standard asymptotic distribution.
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