Results 211 to 220 of about 15,578 (257)
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High Resolution Estimation of Directions of Arrival
2005 IEEE 61st Vehicular Technology Conference, 2005In this paper, we propose a novel system architecture that employs the flexible tree search based orthogonal matching pursuit (FTB-OMP) algorithm for direction of arrival estimation. It is shown by simulation results that the FTB-OMP algorithm has high estimation performance and resolution capability when compared to the MUSIC and OMP algorithms.
G.Z. Karabulut, T. Kurt, A. Yongacoglu
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The effects of preprocessing on direction of arrival estimation
IEEE International Conference on Acoustics Speech and Signal Processing, 1993Numerous authors have advocated the use of preprocessing (PP) in high-resolution direction finding algorithms. The optimal PP matrix is identified, in the sense that the accuracy of the direction of arrival estimates are unaffected by the preprocessing step.
Anthony J. Weiss, Benjamin Friedlander
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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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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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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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Compressive frequency-difference direction-of-arrival estimation
The Journal of the Acoustical Society of America, 2023Direction-of-arrival estimation is difficult for signals spatially undersampled by more than half the wavelength. Frequency-difference beamforming [Abadi, Song, and Dowling (2012). J. Acoust. Soc. Am. 132, 3018–3029] offers an alternative approach to avoid such spatial aliasing by using multifrequency signals and processing them at a lower frequency ...
Jeung-Hoon Lee +2 more
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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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A combined determination-estimation method for direction of arrival estimation
Signal Processing, 1993zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Jinho Choi 0001 +3 more
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Maximum likelihood methods for direction-of-arrival estimation
IEEE Transactions on Acoustics, Speech, and Signal Processing, 1990Five methods of direction-of-arrival (DOA) estimation which can be derived from the maximum-likelihood (ML) principle are considered. The ML method (MLM) results from the application of the ML principle to the statistics of the observed raw data. The standard multiple signal classification (MUSIC) procedure, called MUSIC-1, is obtained as a brute-force
Petre Stoica, Kenneth C. Sharman
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