Results 211 to 220 of about 61,491 (262)
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Mirrored Arrays for Direction-of-Arrival Estimation
ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2020A mirrored array configuration, which consists of an ordinary linear array and a reflector, is proposed. The mirrored arrays can provide composable degrees of freedom (DOF) for array processing by combined measurements with the help of mechanical adjustment (e.g., movement or rotation).
Dong Zhu +2 more
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Compressive wideband direction of arrival estimation
2015 38th International Conference on Telecommunications and Signal Processing (TSP), 2015Compressive Sampling (CS) has recently emerged as a groundbreaking technique which reconstructs the sparse signal using samples taken below Nyquist sampling frequency (sub-Nyquist samples). In this paper we consider to estimate the Direction of Arrival (DOA) of wideband signals using sub-Nyquist samples.
Amal Chaturvedi, H. Howard Fan
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FOMP algorithm for Direction of Arrival estimation
Physical Communication, 2018Abstract Adaptive antennas and antenna array processing are much significant issues for improving the performance of wireless communication systems. One of the most important applications of adaptive antenna systems is the Direction of Arrival (DOA) estimation.
Maryam Dehghani, Keyvan Aghababaiyan
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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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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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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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