Results 11 to 20 of about 31,048 (205)
Sensors, 2023 Acoustic vector sensor (AVS) is a kind of sensor widely used in underwater detection. Traditional methods use the covariance matrix of the received signal to estimate the direction-of-arrival (DOA), which not only loses the timing structure of the signal
Yangyang Xie, Biao Wang
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Single snapshot DOA estimation [PDF]
Advances in Radio Science, 2010 Abstract. In array signal processing, direction of arrival (DOA) estimation has been studied for decades. Many algorithms have been proposed and their performance has been studied thoroughly. Yet, most of these works are focused on the asymptotic case of a large number of snapshots.
P. Häcker, B. Yang
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Gridless DOA Estimation With Multiple Frequencies
IEEE Transactions on Signal Processing, 2023 Direction-of-arrival (DOA) estimation is widely applied in acoustic source localization. A multi-frequency model is suitable for characterizing the broadband structure in acoustic signals. In this paper, the continuous (gridless) DOA estimation problem with multiple frequencies is considered.
Yifan Wu +2 more
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Sparse Convolutional Array for DOA Estimation
EURASIP Journal on Advances in Signal Processing, 2022 Abstract Array signal processing plays an important role in many areas. Besides the Uniform Linear Array, their are many sparse array that have been proposed, for example, Minimum-redundancy array, Co-prime array, nested array, etc. However, most of the array structures have certain disadvantages.
Zikai Wang +4 more
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UWB joint TOA and DOA estimation [PDF]
2009 IEEE International Conference on Ultra-Wideband, 2009 This paper deals with the simultaneous estimation of Time of Arrival (TOA) and Direction of Arrival (DOA) in UWB systems considering multipath propagation. The estimation is performed in the frequency domain by computing a two dimensional power delay-angle spectrum based on the periodogram because of its low computational complexity.
Lagunas, Eva +2 more
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Robust and sparse M-estimation of DOA
Signal Processing, 2023 A robust and sparse Direction of Arrival (DOA) estimator is derived for array data that follows a Complex Elliptically Symmetric (CES) distribution with zero-mean and finite second-order moments. The derivation allows to choose the loss function and four loss functions are discussed in detail: the Gauss loss which is the Maximum-Likelihood (ML) loss ...
Christoph F. Mecklenbräuker +3 more
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2D-DOA Estimation in Switching UCA Using Deep Learning-Based Covariance Matrix Completion
Sensors, 2022 In this paper, we study the two-dimensional direction of arrival (2D-DOA) estimation problem in a switching uniform circular array (SUCA), which means performing 2D-DOA estimation with a reduction in the number of radio frequency (RF) chains.
Ruru Mei +3 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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Tensor DoA Estimation With Directional Elements [PDF]
IEEE Signal Processing Letters, 2017 Directivity gain patterns are treated as a physical diversity for tensor array processing, replacing space diversity, in addition to time and space shift diversities. We show that the tensor formulation allows to estimate directions of arrival under the assumption of unknown gain patterns, improving the performance of the omnidirectional case.
Raimondi, Francesca, Comon, Pierre
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Research on DOA estimation algorithm for coherent signal under low signal to noise ratio
Dianzi Jishu Yingyong, 2018 In order to solve the problem of low coherent signal DOA estimation accuracy and low resolution in low signal to noise ratio, this paper proposes a DOA estimation algorithm for coherent signal under low SNR.
Ren Quanhui, Chen Xiangcheng
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