Results 61 to 70 of about 19,233 (197)
Direction-of-Arrival Estimation Based on Joint Sparsity
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
Joint ML calibration and DOA estimation with separated arrays
This paper investigates parametric direction-of-arrival (DOA) estimation in a particular context: i) each sensor is characterized by an unknown complex gain and ii) the array consists of a collection of subarrays which are substantially separated from ...
Boyer, Rémy +4 more
core +3 more sources
Performance evaluation of direction-of-arrival (DOA) estimation algorithms for mobile communication systems [PDF]
Spatial filtering for mobile communications has attracted a lot of attention over the last decade and is currently considered a very promising technique that will help future cellular networks achieve their ambitious goals. One way to accomplish this is via array signal processing with algorithms which estimate the direction-of-arrival (DOA) of the ...
Al Midfa, KOM, Tsoulos, G, Nix, AR
openaire +1 more source
Abstract Launched in April 2023, the Tropospheric Emissions: Monitoring of Pollution (TEMPO), instrument provides for the first time hourly measurements of atmospheric pollutants over most of North America at high spatial resolution (∼2 × 4.75 km2).
Prajjwal Rawat +17 more
wiley +1 more source
Spatial Localization of Electromagnetic Radiation Sources by Cascade Neural Network Model with Noise Reduction [PDF]
In this paper, the Direction of Arrival - DoA estimation for two mobile sources was performed by using the Single Multilayer Perceptron (MLP) neural network model (SMLP-DoA) and the Cascade MLP model(CMLP).
M. Ilic, Z. Stankovic, N. Males-Ilic
doaj
Multiple and single snapshot compressive beamforming
For a sound field observed on a sensor array, compressive sensing (CS) reconstructs the direction-of-arrival (DOA) of multiple sources using a sparsity constraint.
Gerstoft, Peter +2 more
core +2 more sources
Target DoA estimation in passive radar using non-uniform linear arrays and multiple frequency channels [PDF]
In this paper we present a robust approach for target direction of arrival (DoA) estimation in passive radar that jointly exploits spatial and frequency diversity. Specifically we refer to a DVB-T based passive radar receiver equipped with a linear array
Cardinali, Roberta +3 more
core +1 more source
Biogenic Next‐Gen CPL Emitters: Strategies with Proteins, Polysaccharides, and Nucleotides
Biogenic molecules such as proteins, peptides, saccharides, and DNA can act as natural scaffolds for generating circularly polarized luminescence (CPL). This review highlights recent strategies exploiting these inherently chiral frameworks to achieve light emission with controllable handedness under unpolarized excitation, bridging biological ...
Ricardo Chavez‐Jimenez +4 more
wiley +1 more source
This research proposes a Regularised Hyperparameter Bilevel Optimisation with Continual Learning‐based Deep Neural Network (RHBO‐CLDNN) for beamforming in an Ultra‐Wide Band (UWB) system. The RHBO ensures the hyperparameter efficiency at both upper and lower levels, which allows DNN to fine‐tune the unique characteristics of the UWB system, which leads
Pradeep Kumar Siddanna +2 more
wiley +1 more source
Performance of Angle of Arrival Detection Using MUSIC Algorithm in Inter-Satellite Link
An attitude of satellite is not always static, sometimes it moves randomly and the antenna pointing of satellite is harder to achieve line of sight communication to other satellite when it is outage by tumbling effect.
Muhammad, Cahya Budi +2 more
core +1 more source

