Results 31 to 40 of about 166,244,523 (287)
Sensors, 2020 Locating active radars in real environmental conditions is a very important and complex task. The efficiency of the direction finding (DF) of ground-based radars and other microwave emitters using unmanned aerial vehicles (UAV) is dependent on the ...
Adam Rutkowski, Adam Kawalec
doaj +1 more source
Infrasound direction of arrival determination using a balloon-borne aeroseismometer [PDF]
JASA Express Letters, 2022 Free-floating balloons are an emerging platform for infrasound recording, but they cannot host arrays sufficiently wide for multi-sensor acoustic direction finding techniques.
Daniel C. Bowman +3 more
doaj +1 more source
A fast method for direction-of-arrival estimation
Sadhana, 1999 In many eigenvalue-eigenvector-based direction-of-arrival estimation algorithms, one finds orthogonal basis vectors for the noise subspace. We propose a circulant basis for the noise space which can be calculated more efficiently than an orthogonal basis.
Sharma, G., Raina, A. K.
openaire +3 more sources
Approximate maximum likelihood estimation of two closely spaced sources [PDF]
, 2014 The performance of the majority of high resolution algorithms designed for either spectral analysis or Direction-of-Arrival (DoA) estimation drastically degrade when the amplitude sources are highly correlated or when the number of available snapshots is
Chaumette, Eric +2 more
core +1 more source
Enhanced Direction of Arrival Estimation Using Non-Uniform Arrays [PDF]
The Egyptian International Journal of Engineering Sciences and TechnologyThis paper focuses on the application of non-uniform arrays (NUAs) to achieve high-level arrival direction estimation (DOAs) and to solve challenges such as target separation and a reduced snapshot. The proposed research includes a theoretical derivative
Azhar Hamdi +4 more
doaj +1 more source
Design of sparse arrays via deep learning for enhanced DOA estimation
EURASIP Journal on Advances in Signal Processing, 2021 This paper introduces an enhanced deep learning-based (DL) antenna selection approach for optimum sparse linear array selection for direction-of-arrival (DOA) estimation applications.
Steven Wandale, Koichi Ichige
doaj +1 more source
IET Radar, Sonar & Navigation, 2023 This article investigates the problem of robust direction‐of‐arrival (DOA) estimation with unknown sensor gain and phase uncertainties. A Dual‐Polarised Regularised Multiple FOCal Underdetermined System Solver is proposed to estimate the 2‐D DOA for the ...
Chao Liu +3 more
doaj +1 more source
Adaptive Beamforming Approaches to Improve Passive Radar Performance in Sea and Wind Farms’ Clutter
Sensors, 2022 This article presents the problem of passive radar vessel detection in a real coastal scenario in the presence of sea and wind farms’ clutter, which are characterised by high spatial and time variability due to the influence of weather conditions ...
Javier Rosado-Sanz +3 more
doaj +1 more source
A Simple Cross Correlation Switched Beam System (XSBS) for Angle of Arrival Estimation
IEEE Access, 2017 We propose a practical, simple and hardware friendly, yet novel and efficient, angle of arrival (AoA) estimation system. Our intuitive, two-phases cross-correlation-based system requires a switched beam antenna array with a single radio frequency ...
Ahmed Badawy +4 more
doaj +1 more source
Direction-of-Arrival Estimation With Planar Luneburg Lens and Waveguide Metasurface Absorber
IEEE Access, 2023 Direction of arrival (DOA) estimation using array antennas is known to have high resolution. However, these algorithms require high computational resources.
Aya Ohmae, Satoshi Yagitani
doaj +1 more source