Intelligent passive detection of aerial target in space-air-ground integrated networks
Passive detection of moving target is an important part of intelligent surveillance. Satellite
has the potential to play a key role in many applications of space-air-ground integrated …
has the potential to play a key role in many applications of space-air-ground integrated …
High-resolution DOA estimation algorithm for a single acoustic vector sensor at low SNR
J Zhang, X Xu, Z Chen, M Bao… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
In order to improve the angular resolution of direction-of-arrival (DOA) estimation based on
portable microphone at low signal-noise-ratio (SNR), this paper proposes a new high …
portable microphone at low signal-noise-ratio (SNR), this paper proposes a new high …
Spectrum sensing based on maximum generalized correntropy under symmetric alpha stable noise
In this correspondence paper, we address the spectrum sensing problem under the non-
Gaussian noise scenario characterized by the symmetric alpha stable (SαS) model. In this …
Gaussian noise scenario characterized by the symmetric alpha stable (SαS) model. In this …
Modulation parameter estimation of LFM interference for direct sequence spread spectrum communication system in alpha-stable noise
The linear frequency modulation (LFM) interference is one of the typical broadband
interferences in direct sequence spread spectrum (DSSS) communication system. In this …
interferences in direct sequence spread spectrum (DSSS) communication system. In this …
Electromagnetic signal classification based on deep sparse capsule networks
In complex electromagnetic environments, electromagnetic signal classification rates are
low as long time have to be the cost to extract features. To cope with the issue, in this paper …
low as long time have to be the cost to extract features. To cope with the issue, in this paper …
DOA robust estimation of echo signals based on deep learning networks with multiple type illuminators of opportunity
Traditional DOA estimation algorithms have poor adaptability to antenna errors. To enhance
the direction of arrival (DOA) estimation performance for moving target echo signals in the …
the direction of arrival (DOA) estimation performance for moving target echo signals in the …
An efficient direction‐of‐arrival estimation of multipath signals with impulsive noise using satin bowerbird optimization‐based deep learning neural network
There exist numerous multi‐path signals with impulsive noise (IN) in a multi‐path
propagation environment. The direction‐of‐arrival (DOA) is highly challenging to be …
propagation environment. The direction‐of‐arrival (DOA) is highly challenging to be …
Recurrent NEAT assisted 2D-DOA estimation with reduced complexity for satellite communication systems
Y Li, Y Huang, GF Pedersen, M Shen - IEEE Access, 2022 - ieeexplore.ieee.org
Direction-of-arrival (DOA) estimation plays a vital role in the field of array signal processing.
However, the need for heavy computing tasks in most traditional DOA algorithms, eg …
However, the need for heavy computing tasks in most traditional DOA algorithms, eg …
Source enumeration approaches using eigenvalue gaps and machine learning based threshold for direction-of-arrival estimation
Y Lee, C Park, T Kim, Y Choi, K Kim, D Kim, MS Lee… - Applied Sciences, 2021 - mdpi.com
Source enumeration is an important procedure for radio direction-of-arrival finding in the
multiple signal classification (MUSIC) algorithm. The most widely used source enumeration …
multiple signal classification (MUSIC) algorithm. The most widely used source enumeration …
Automatic digital modulation recognition in the presence of alpha-stable noise
In this paper, we introduce a novel modulation recognition method of digital communication
signals with alpha-stable noise to solve the problem of low recognition performance in …
signals with alpha-stable noise to solve the problem of low recognition performance in …