Results 21 to 30 of about 12,985 (190)
Deep Unfolded Gridless DOA Estimation Networks Based on Atomic Norm Minimization
Remote Sensing, 2022 Deep unfolded networks have recently been regarded as an essential way to direction of arrival (DOA) estimation due to the fast convergence speed and high interpretability. However, few consider gridless DOA estimation.
Hangui Zhu +4 more
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A Low-Complexity Method for Two-Dimensional Direction-of-Arrival Estimation Using an L-Shaped Array
Sensors, 2017 In this paper, a new low-complexity method for two-dimensional (2D) direction-of-arrival (DOA) estimation is proposed. Based on a cross-correlation matrix formed from the L-shaped array, the proposed algorithm obtains the automatic pairing elevation and ...
Qing Wang +4 more
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International Journal of Antennas and Propagation, 2015 A novel compressive sensing- (CS-) based direction-of-arrival (DOA) estimation algorithm is proposed to solve the performance degradation of the CS-based DOA estimation in the presence of sensing matrix mismatching. Firstly, a DOA sparse sensing model is
Hongtao Li, Chaoyu Wang, Xiaohua Zhu
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EURASIP Journal on Wireless Communications and Networking, 2019 The acoustic vector sensor (AVS) array is a powerful tool for underwater target’s direction-of-arrival (DOA) estimation without any bearing ambiguities.
Yu Ao, Ling Wang, Jianwei Wan, Ke Xu
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Grid-free compressive beamforming [PDF]
, 2015 The direction-of-arrival (DOA) estimation problem involves the localization of a few sources from a limited number of observations on an array of sensors, thus it can be formulated as a sparse signal reconstruction problem and solved efficiently with ...
Gerstoft, Peter, Xenaki, Angeliki
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Direction-of-Arrival Estimation Based on Joint Sparsity
Sensors, 2011 We present a DOA estimation algorithm, called Joint-Sparse DOA to address the problem of Direction-of-Arrival (DOA) estimation using sensor arrays. Firstly, DOA estimation is cast as the joint-sparse recovery problem.
Zhitao Huang, Yiyu Zhou, Junhua Wang
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A Priori-Based Subarray Selection Algorithm for DOA Estimation
Sensors, 2020 A finer direction-of-arrival (DOA) estimation result needs a large and dense array; it may, however, encounter the mutual coupling effect, which degrades the performance of DOA estimation.
Linghao Zeng +2 more
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Multipath Separation-Direction of Arrival (MS-DOA) with Genetic Search Algorithm for HF channels [PDF]
, 2009 Cataloged from PDF version of article.Direction-of-Arrival (DOA) defines the estimation of arrival angles of an electromagnetic wave impinging on a set of sensors. For dispersive and time-varying HF channels, where the propagating wave also suffers from
Arikan, F. +4 more
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IEEE Access, 2019 This paper discusses the direction-of-arrival (DOA) estimation problem in multiple-input multiple-output (MIMO) radar with non-orthogonal waveforms.
Chong Shen +4 more
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Multisource DOA Estimation in Impulsive Noise Environments Using Convolutional Neural Networks
International Journal of Antennas and Propagation, 2022 This work proposes an effective high-resolution multisource direction-of-arrival (DOA) estimation method in impulsive noise scenarios based on convolutional neural networks (CNNs). First of all, the array observation matrix is preprocessed and fed into a
Dong Chen, Young Hoon Joo
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