Results 211 to 220 of about 1,903,363 (255)
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Sonar array signal processing for sparse linear arrays
ISSPA '99. Proceedings of the Fifth International Symposium on Signal Processing and its Applications (IEEE Cat. No.99EX359), 2003Acoustic signals which propagate through the ocean have wavefronts which can differ significantly from the "planar wavefronts" assumed in array signal processing. In this paper we investigate the performance of the the minimum variance distortionless response (MVDR) beamformer and the previously introduced Fourier integral method (FIM), when applied to
I. S. D. Solomon +2 more
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Stochastic optimization of linear sparse arrays
IEEE Journal of Oceanic Engineering, 1999In conventional beamforming systems, the use of aperiodic arrays is a powerful way to obtain high resolution employing few elements and avoiding the presence of grating lobes. The optimized design of such arrays is a required task in order to control the side-lobe level and distribution.
TRUCCO, ANDREA, V. MURINO
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Difference bases and sparse sensor arrays
IEEE Transactions on Information Theory, 1993Difference bases are discussed and their relevance to sensor arrays is described. Several new analytical difference base structures that result in near optimal low-redundancy sensor arrays are introduced. Algorithms are also presented for efficiently obtaining sparse sensor arrays and/or difference bases.
Darel A. Linebarger +2 more
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Super Augmented Nested Arrays: A New Sparse Array for Improved DOA Estimation Accuracy
IEEE Signal Processing LettersThe super augmented nested array (SANA) is a new sparse array (SA) proposed by expanding, changing the inter-element spacing (IES), and splitting the nested array (NA).
Xiu-Wen Wang, Lei Zhao, Yuan Jiang
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IEEE Transactions on Signal Processing
In this paper, we consider monostatic sparse MIMO radar with the transmit and receive arrays mounted on a moving platform and exploit array motions to increase the number of degrees of freedom (DOFs) and continuous lags for direction of arrival (DOA ...
Xingjun Lai +3 more
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In this paper, we consider monostatic sparse MIMO radar with the transmit and receive arrays mounted on a moving platform and exploit array motions to increase the number of degrees of freedom (DOFs) and continuous lags for direction of arrival (DOA ...
Xingjun Lai +3 more
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DOA Estimation for Sparse Array via Sparse Signal Reconstruction
IEEE Transactions on Aerospace and Electronic Systems, 2013The problem of direction-of-arrival (DOA) estimation for sparse array is addressed. The perspective that DOA estimation in virtual array response model can be cast as the problem of sparse recovery is introduced. Two methods are proposed, based on different optimization problems, which are solvable using second-order cone (SOC) programming. Without the
Ming Bao, Zhongfu Ye
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A Beamformer Based on Sparse Array with Various Array Structures
2018The degrees of freedom (DOF) of the adaptive beamformer based on conventional linear array is limited by the number of physical array sensors. One way to enhance the DOF is to choose sparse array, whose DOF is greater than the number of sensors in the array.
Yanqi Fan +3 more
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Proceedings of the 34th ACM International Conference on Supercomputing, 2020
While systolic arrays are widely used for dense-matrix operations, they are seldom used for sparse-matrix operations. In this paper, we show how a systolic array of Multiply-and-Accumulate (MAC) units, similar to Google's Tensor Processing Unit (TPU), can be adapted to efficiently handle sparse matrices.
Xin He 0011 +9 more
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While systolic arrays are widely used for dense-matrix operations, they are seldom used for sparse-matrix operations. In this paper, we show how a systolic array of Multiply-and-Accumulate (MAC) units, similar to Google's Tensor Processing Unit (TPU), can be adapted to efficiently handle sparse matrices.
Xin He 0011 +9 more
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Synthesis of Large Sparse Arrays Using IDEA (Inflating-Deflating Exploration Algorithm)
IEEE Transactions on Antennas and Propagation, 2018We introduce an effective antenna array synthesis algorithm which is aimed to the generation of sparse arrays radiating patterns with arbitrary upper bounds.
Daniele Pinchera +2 more
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Incoherent Synthesis of Sparse Arrays for Frequency-Invariant Beamforming
IEEE/ACM Transactions on Audio Speech and Language Processing, 2019Frequency-invariant beamformers are used to prevent signal waveform distortions in real world applications like audio, underwater acoustics, and radar. Most of existing methods assume uniform arrays, and only few consider sparse designs, which may lead ...
Y. Buchris +3 more
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