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Performance analysis of adaptive array signal processing algorithms
Adaptive antenna is an array of antenna elements with signal processing capability to
optimize its radiation pattern in response to the changing signal environment. The adaptive …
optimize its radiation pattern in response to the changing signal environment. The adaptive …
Neural-network-based DOA estimation in the presence of non-Gaussian interference
This work addresses the problem of direction-of-arrival (DOA) estimation in the presence of
non-Gaussian, heavy-tailed, and spatially-colored interference. Conventionally, the …
non-Gaussian, heavy-tailed, and spatially-colored interference. Conventionally, the …
Unsupervised learning strategy for direction-of-arrival estimation network
Y Yuan, S Wu, M Wu, N Yuan - IEEE Signal Processing Letters, 2021 - ieeexplore.ieee.org
In this letter, we proposed a novel unsupervised learning strategy for direction-of-arrival
(DOA) estimation network. Inspired by the sparse power spectrum and l 1-norm optimization …
(DOA) estimation network. Inspired by the sparse power spectrum and l 1-norm optimization …
Learn to communicate with neural calibration: Scalability and generalization
The conventional design of wireless communication systems typically relies on established
mathematical models that capture the characteristics of different communication modules …
mathematical models that capture the characteristics of different communication modules …
[HTML][HTML] KR product and sparse prior based CNN estimator for 2-D DOA estimation
Y Yuan, S Wu, Y Ma, L Huang, N Yuan - AEU-International Journal of …, 2021 - Elsevier
This paper proposes a method based on Khatri-Rao (KR) product, sparse prior, and
convolutional neural networks (CNN) to solve the direction-of-arrival (DOA) estimation …
convolutional neural networks (CNN) to solve the direction-of-arrival (DOA) estimation …
Feature engineering for DOA estimation using a convolutional neural network, for sparse arrays
In the past few years, there has been an emerging use of deep neural networks for
improving the direction of arrival (DOA) estimation performance. This paper demonstrates …
improving the direction of arrival (DOA) estimation performance. This paper demonstrates …
Culture conditions optimization of hyaluronic acid production by Streptococcus zooepidemicus based on radial basis function neural network and quantum-behaved …
This study aimed to optimize the culture conditions (agitation speed, aeration rate and stirrer
number) of hyaluronic acid production by Streptococcus zooepidemicus. Two optimization …
number) of hyaluronic acid production by Streptococcus zooepidemicus. Two optimization …
Statistically robust estimation of source bearing via minimizing the Bhattacharyya distance
Q Ma, W Xu, Y Zhou - The Journal of the Acoustical Society of America, 2022 - pubs.aip.org
Source bearing estimation is a common technique in acoustic array processing. Many
methods have been developed and most of them exploit some underlying statistical model …
methods have been developed and most of them exploit some underlying statistical model …
Multi-DOA estimation based on the KR image tensor and improved estimation network
Y Yuan, S Wu, Y Yang, N Yuan - Scientific Reports, 2021 - nature.com
Deep neural networks have shown great performance for direction-of-arrival (DOA)
estimation problem, but it is necessary to design some suitable networks to solve the multi …
estimation problem, but it is necessary to design some suitable networks to solve the multi …
Adaptive Beamforming Algorithm Based on Residual Neural Networks
L Chen, W Wei, D Liu, D **a - Circuits, Systems, and Signal Processing, 2025 - Springer
In the field of array signal processing, adaptive beamforming technology is commonly used
to suppress sidelobe interference. However, when facing challenges such as an increased …
to suppress sidelobe interference. However, when facing challenges such as an increased …