Results 311 to 320 of about 124,553,511 (357)
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The direction-of-arrival problem: coming at you
Computing in Science & Engineering, 2003If you break your leg on a mountain but have a cellular telephone or other transmitter with you, you would hope a rescuer could determine the direction in which to travel to reach you. Similarly, if a navy detects a transmission from a submarine, it would want to determine the signal's direction of arrival (DOA) to locate that submarine. The problem is
Dianne P. O'Leary, Nargess Memarsadeghi
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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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Multiple target direction of arrival tracking
IEEE Transactions on Signal Processing, 1995A new algorithm is presented for estimating the directions of arrival of signals from an unknown number of moving signal sources. The parameter space is a countable union of Cartesian products of the torus, each product space corresponding to a different number of signals reaching the sensor array. A Bayesian posterior probability measure is defined on
Anuj Srivastava +2 more
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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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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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