Performance analysis of adaptive array signal processing algorithms

A Sharma, S Mathur - IETE Technical review, 2016 - Taylor & Francis
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 …

Neural-network-based DOA estimation in the presence of non-Gaussian interference

S Feintuch, J Tabrikian, I Bilik… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
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 …

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 …

Learn to communicate with neural calibration: Scalability and generalization

Y Ma, Y Shen, X Yu, J Zhang, SH Song… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
The conventional design of wireless communication systems typically relies on established
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 …

Feature engineering for DOA estimation using a convolutional neural network, for sparse arrays

P Kulkarni, PP Vaidyanathan - 2021 55th Asilomar Conference …, 2021 - ieeexplore.ieee.org
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 …

Culture conditions optimization of hyaluronic acid production by Streptococcus zooepidemicus based on radial basis function neural network and quantum-behaved …

L Liu, J Sun, D Zhang, G Du, J Chen, W Xu - Enzyme and Microbial …, 2009 - Elsevier
This study aimed to optimize the culture conditions (agitation speed, aeration rate and stirrer
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 …

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 …

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 …