Results 11 to 20 of about 209,262 (270)

Direction-of-Arrival Estimation Based on Joint Sparsity [PDF]

open access: yesSensors, 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   +3 more sources

Direction of Arrival Estimation Algorithm Based on Coprime Array [PDF]

open access: yesHangkong bingqi, 2023
The coprime array has attracted extensive attention because of its flexible antenna placement form and larger array aperture compared with the uniform array, which can obtain higher degrees of freedom and reduce the cost of hardware resources.
Liu Jianing, Si Weijian
doaj   +1 more source

High-Precision Fast Direction-of-Arrival Estimation Method for Planar Array

open access: yesSpace: Science & Technology, 2023
The multiple signal classification method for direction-of-arrival estimation is widely applied in practical scenarios. However, the multiple signal classification method with planar array requires 2-dimensional on-grid spectrum searches, which would ...
Shuai Li   +6 more
doaj   +1 more source

Enhanced CACIS configuration for direction of arrival estimation

open access: yesElectronics Letters, 2022
In this letter, an enhanced coprime array with compressed inter‐element spacing is designed for direction of arrival estimation. First, we analyse and conclude that the 0th sensor of coprime array with compressed inter‐element spacing is redundant for ...
Yule Zhang   +3 more
doaj   +1 more source

No‐search algorithm for direction of arrival estimation [PDF]

open access: yesRadio Science, 2009
Direction of arrival estimation (DOA) is an important problem in ionospheric research and electromagnetics as well as many other fields. When superresolution techniques are used, a computationally expensive search should be performed in general. In this paper, a no‐search algorithm is presented.
Tuncer, T. Engin, Ozgen, M. Tankut
openaire   +3 more sources

Radar Antenna Selection for Direction-of-Arrival Estimations [PDF]

open access: yes2021 IEEE Radar Conference (RadarConf21), 2021
Multi-antenna radars exhibit positively correlated detection performance with the number of elements utilized. The feasibility of refining antenna arrays to reduce cost of operation with only marginal loss of performance has attracted significant attention as utilizing a large number of elements may be prohibitively costly in terms of computation and ...
Atalik, Arda   +2 more
openaire   +2 more sources

Radioactive Direction of Arrival Estimation Using Neural Networks Approach [PDF]

open access: yesEPJ Web of Conferences, 2023
In this paper, we present a comprehensive investigation into improving Direction of Arrival (DOA) estimation for gamma-emitting isotopes using deep neural networks.
Salomon Yossi   +5 more
doaj   +1 more source

Direction-of-Arrival Estimation Based on Sparse Recovery with Second-Order Statistics [PDF]

open access: yes, 2015
Traditional direction-of-arrival (DOA) estimation techniques perform Nyquist-rate sampling of the received signals and as a result they require high storage.
Chen, H., Fan, R., Wan, Q., Wen, F.
core   +4 more sources

Robust prior-based Direction of Arrival estimation

open access: yes2012 IEEE Statistical Signal Processing Workshop (SSP), 2012
In certain Direction of Arrival (DOA) scenarios some of the sources are approximately known a priori. It is then desirable to be able to exploit this prior knowledge when estimating the DOAs of the unknown sources. In this paper we modify an estimator utilizing exact angular prior knowledge of some sources such that the estimator is able to exploit ...
P. Wirfält, M. Jansson
openaire   +3 more sources

Direction of arrival estimation with off-grid target based on sparse reconstruction in impulsive noise

open access: yesJournal of Low Frequency Noise, Vibration and Active Control, 2021
This paper proposes a direction of arrival estimation based on sparse signal reconstruction in the presence of alpha noise by the off-grid orthogonal matching pursuit algorithm.
LongKai Liang   +3 more
doaj   +1 more source

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