Results 71 to 80 of about 31,332 (207)
A compressive sensing joint sparse representation direction of arrival estimation (CSJSR-DoA) approach is proposed for wireless sensor array networks (WSAN).
Kai Yu +6 more
doaj +1 more source
Broadband DOA estimation using Convolutional neural networks trained with noise signals
A convolution neural network (CNN) based classification method for broadband DOA estimation is proposed, where the phase component of the short-time Fourier transform coefficients of the received microphone signals are directly fed into the CNN and the ...
Chakrabarty, Soumitro +1 more
core +1 more source
Wideband DOA estimation for SOBFN
This study considers the problem of wideband direction of arrival (DOA) estimation for spatial optical beam‐forming network (SOBFN). Since its system configuration is different from that of the traditional microwave beam‐forming networks, the authors first establish the observation model of SOBFN when multiple broadband signals are received.
Liu‐Li Wu +2 more
openaire +1 more source
Abstract Deep‐sea elasmobranchs are less resilient to the increasing scale of anthropogenic impacts such as fisheries, owing to their life‐history traits. The necessity for proper management measures is hampered by the scant knowledge on these taxa and their biology. Here we provide the first comprehensive insight into the parasite infracommunities and
Wolf Isbert +5 more
wiley +1 more source
Compressive Sensing for MIMO Radar
Multiple-input multiple-output (MIMO) radar systems have been shown to achieve superior resolution as compared to traditional radar systems with the same number of transmit and receive antennas.
Petropulu, Athina P. +2 more
core +1 more source
Eruption Source Parameters in Volcanic Plume Modeling: Advances, Challenges, and Future Directions
Abstract Accurately predicting the atmospheric dispersion of volcanic ash and gases is crucial for both scientific understanding and hazard mitigation. Estimating Eruption Source Parameters (ESP), such as mass eruption rate, plume height, duration, and particle size distribution and properties, remains challenging due to the complex nature of volcanic ...
A. Costa +4 more
wiley +1 more source
DOA Estimation of GNSS Signals Based on Deconvolved Conventional Beamforming
The Direction of Arrival (DOA) parameter is a key parameter in directional channel modeling for GNSS systems and multipath suppression. However, achieving high-precision, low-complexity DOA estimation of multiple signal sources without requiring a known ...
Jian Wu +4 more
doaj +1 more source
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
Direction of arrival (DOA) estimation for signals with large time‐bandwidth products is very important in modern communication and radar systems. Traditional narrowband DOA estimation algorithms are not accurate for such wideband signals.
Ronald Mulinde +2 more
doaj +1 more source
Transmit Array Interpolation for DOA Estimation via Tensor Decomposition in 2D MIMO Radar
In this paper, we propose a two-dimensional (2D) joint transmit array interpolation and beamspace design for planar array mono-static multiple-input-multiple-output (MIMO) radar for direction-of-arrival (DOA) estimation via tensor modeling.
Cao, Ming-Yang +2 more
core +1 more source

