Results 31 to 40 of about 77,971 (296)
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
Blind channel equalization using weighted subspace methods [PDF]
, 1999 This paper addresses the problems of blind channel estimation and symbol detection with second order statistics methods from the received data. It can be shown that this problem is similar to direction of arrival (DOA) estimation, where many solutions ...
Cabrera-Bean, Margarita +1 more
core +1 more source
Tracking Positioning Algorithm for Direction of Arrival Based on Direction Lock Loop
Future Internet, 2015 In order to solve the problem of poor real-time performance, low accuracy and high computational complexity in the traditional process of locating and tracking of Direction of Arrival (DOA) of moving targets, this paper proposes a DOA algorithm based on ...
Xiu-Zhi Cheng +3 more
doaj +1 more source
Radioactive Direction of Arrival Estimation Using Neural Networks Approach [PDF]
EPJ 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 with One Microphone, a few LEGOs, and Non-Negative Matrix Factorization [PDF]
, 2018 Conventional approaches to sound source localization require at least two microphones. It is known, however, that people with unilateral hearing loss can also localize sounds. Monaural localization is possible thanks to the scattering by the head, though
Badawy, Dalia El, Dokmanić, Ivan
core +2 more sources
Direction-of-Arrival Estimation Based on Sparse Recovery with Second-Order Statistics [PDF]
, 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 +2 more sources
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
Estimation of direction of arrival using information theory [PDF]
, 2005 Published ...
Constantinides, AG +2 more
core +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
Direction-of-arrival estimation for constant modulus signals
IEEE Transactions on Signal Processing, 1999 In many cases where direction finding is of interest, the signals impinging on an antenna array are known to be phase modulated and, hence, to have a constant modulus (CM). This is a strong property; by itself, it is already sufficient for source separation and can be used to construct improved direction finding algorithms. We first derive the relevant
Leshem, A. (author) +1 more
openaire +5 more sources