Results 11 to 20 of about 3,432 (185)
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 0015 +2 more
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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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Thinned coprime arrays for DOA estimation [PDF]
2017 25th European Signal Processing Conference (EUSIPCO), 2017 Publication in the conference proceedings of EUSIPCO, Kos island, Greece ...
Ahsan Raza, Wei Liu 0001, Qing Shen 0002
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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 0008 +4 more
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Toeplitz rectification and DOA estimation with music [PDF]
2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2014 The MUSIC method is widely used in the field of DoA estimation using an array of M sensors, and is known to perform well as long as the number of available samples N is much larger than M. Nevertheless, in the scenario where N is of the same order of magnitude than M, its performance degrades, essentially because the sample covariance matrix (SCM) is ...
Vallet, Pascal, Loubaton, Philippe
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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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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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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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The direction of arrival estimation method based on gridless compressed sensing
上海师范大学学报. 自然科学版, 2020 Efficient direction of arrival(DOA) estimation for densely distributed targets was a difficult and hot spot in current high-precision positioning technology.There were many problems and issuesfor existing DOA estimation methods which were designed based ...
GU Xu, WEI Shuang, LI Li, SU Ying
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Ziv-Zakai Bound for DOAs Estimation
IEEE Transactions on Signal Processing, 2023 Lower bounds on the mean square error (MSE) play an important role in evaluating the direction-of-arrival (DOA) estimation performance. Among numerous bounds for DOA estimation, the local Cramer-Rao bound (CRB) is only tight asymptotically. By contrast, the existing global tight Ziv-Zakai bound (ZZB) is appropriate for evaluating the single source ...
Zongyu Zhang +2 more
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