Results 31 to 40 of about 9,691 (222)
Deep Neural Networks Based End-to-End DOA Estimation System [PDF]
, 2023 Direction of arrival (DOA) estimation is an antenna array signal processing technique used in, for instance, radar and sonar systems, source localization, and channel state information retrieval.
Ohganey, Takeo +13 more
core +2 more sources
IEEE Access, 2021 In order to solve the problem that the gridless DOA estimation algorithms based on generalized finite rate of innovation (FRI) signal reconstruction model are not suitable for two-dimensional DOA estimation using planar array, a separable gridless DOA ...
Kunda Wang, Lin Shi, Tao Chen
doaj +1 more source
International Journal of Antennas and Propagation, 2017 A method of direction-of-arrival (DOA) estimation using array interpolation is proposed in this paper to increase the number of resolvable sources and improve the DOA estimation performance for coprime array configuration with holes in its virtual array.
Aihua Liu +3 more
doaj +1 more source
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
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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Deep learning approach in DOA estimation: a systematic literature review [PDF]
, 2021 In array signal processing, the direction of arrival (DOA) of the signal source has drawn broad research interests with its wide applications in fields such as sonar, radar, communications, medical detection, and electronic countermeasures.
Mohd Rum, Siti Nurulain +2 more
core +1 more source
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
doaj +1 more source
, 2023 For the problem of direction-of-arrival (DOA) estimation using a coprime array, there are high spatial spectrum outputs of false alarms caused by the overlap of main and grating lobes from subarrays.
Yujie Chen (1552645) +4 more
core +1 more source
CaSCADE: Compressed Carrier and DOA Estimation [PDF]
IEEE Transactions on Signal Processing, 2017 Spectrum sensing and direction of arrival (DOA) estimation have been thoroughly investigated, both separately and as a joint task. Estimating the support of a set of signals and their DOAs is crucial to many signal processing applications, such as Cognitive Radio (CR).
Shahar Stein +3 more
openaire +2 more sources
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
doaj +1 more source