Results 31 to 40 of about 31,332 (207)
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
doaj +1 more source
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
core +2 more sources
Deep Networks for Direction of Arrival Estimation With Sparse Prior in Low SNR
IEEE Access, 2023 This work introduces direction of arrival (DOA) estimation considering the sparsity prior in the low signal to noise ratio (SNR) using deep learning (DL).
Yanhua Qin
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Direction of arrival estimation of unknown emitter by deep neural networks with array imperfections
IET Radar, Sonar & Navigation, 2023 In array signal processing, high‐resolution direction‐of‐arrival (DOA) estimation by eigendecomposition method requires knowledge of the array covariance matrix and an exact characterisation of the array.
Min Chen, Xingpeng Mao, Libao Liu
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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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The influence of random element displacement on DOA estimates obtained with (Khatri-Rao-)root-MUSIC [PDF]
, 2014 Although a wide range of direction of arrival (DOA) estimation algorithms has been described for a diverse range of array configurations, no specific stochastic analysis framework has been established to assess the probability density function of the ...
Inghelbrecht, Veronique +3 more
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Remote Sensing, 2023 The adaptive beamforming algorithm can realize interference suppression and navigation signal enhancement, and has been widely used. However, achieving high-precision real-time estimation of the direction of arrival (DOA) parameters of navigation signals
Jian Wu +4 more
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Cdma blind channel equalization: a weighted subsface a proach [PDF]
, 1999 This paper considers the problem of blind demodulation of multiuser information symbols in a direct-sequence code-division multiple access (DS-CDMA) environment. Channel estimation and symbol detection in the presence of both multiple access interference
Cabrera-Bean, Margarita +1 more
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DOA estimation exploiting coprime frequencies [PDF]
SPIE Proceedings, 2014 Coprime array, which utilizes a coprime pair of uniform linear subarrays, is an attractive structure to achieve sparse array configurations. Alternatively, effective coprime array configurations can be implemented using a uniform linear array with two coprime sensing frequencies.
Si Qin, Yimin D. Zhang, Moeness G. Amin
openaire +1 more source
A high-resolution DOA estimation method for deep-sea multipath coherent channels [PDF]
Zhihui kongzhi yu fangzhenAiming at the problem of error in deep-sea DOA(Direction of Arrival, DOA) estimation based on plane wave sound field model, this paper establishes the array signal model of deep-sea DOA estimation under multipath channel based on ray theory.
CAO Yongjie, MAO Weining
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