Results 21 to 30 of about 11,439 (192)
A Low-Complexity Method for Two-Dimensional Direction-of-Arrival Estimation Using an L-Shaped Array
Sensors, 2017 In this paper, a new low-complexity method for two-dimensional (2D) direction-of-arrival (DOA) estimation is proposed. Based on a cross-correlation matrix formed from the L-shaped array, the proposed algorithm obtains the automatic pairing elevation and ...
Qing Wang +4 more
doaj +1 more source
Deep Unfolded Gridless DOA Estimation Networks Based on Atomic Norm Minimization
Remote Sensing, 2022 Deep unfolded networks have recently been regarded as an essential way to direction of arrival (DOA) estimation due to the fast convergence speed and high interpretability. However, few consider gridless DOA estimation.
Hangui Zhu +4 more
doaj +1 more source
Multipath Separation-Direction of Arrival (MS-DOA) with Genetic Search Algorithm for HF channels [PDF]
, 2009 Cataloged from PDF version of article.Direction-of-Arrival (DOA) defines the estimation of arrival angles of an electromagnetic wave impinging on a set of sensors. For dispersive and time-varying HF channels, where the propagating wave also suffers from
Arikan, F. +4 more
core +1 more source
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
EURASIP Journal on Wireless Communications and Networking, 2019 The acoustic vector sensor (AVS) array is a powerful tool for underwater target’s direction-of-arrival (DOA) estimation without any bearing ambiguities.
Yu Ao, Ling Wang, Jianwei Wan, Ke Xu
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
A Priori-Based Subarray Selection Algorithm for DOA Estimation
Sensors, 2020 A finer direction-of-arrival (DOA) estimation result needs a large and dense array; it may, however, encounter the mutual coupling effect, which degrades the performance of DOA estimation.
Linghao Zeng +2 more
doaj +1 more source
A Joint Audio-Visual Approach to Audio Localization [PDF]
, 2015 Localization of audio sources is an important research problem, e.g.,to facilitate noise reduction. In the recent years, the problem hasbeen tackled using distributed microphone arrays (DMA).
Christensen, Mads Græsbøll +1 more
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Comparison of Direction of Arrival (DOA) Estimation Techniques for Closely Spaced Targets [PDF]
International Journal of Future Computer and Communication, 2013 This paper deals with different beamforming techniques for DOA estimation. High resolution techniques such as Multiple Signal Classification (MUSIC) and Estimation of Signal Parameters via Rotational Invariance Techniques (ESPRIT) which are subspace based techniques are also discussed. Finally, further resolution improvement is achieved through the use
Nauman Anwar Baig, Mohammad Bilal Malik
openaire +1 more source
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
core +2 more sources