Cargando…
Small Sample Coherent DOA Estimation Method Based on S2S Neural Network Meta Reinforcement Learning
Aiming at the existing Direction of Arrival (DOA) methods based on neural network, a large number of samples are required to achieve signal-scene adaptation and accurate angle estimation. In the coherent signal environment, the problems of a larger amount of training sample data are required. In thi...
Autores principales: | Wu, Zihan, Wang, Jun |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9918895/ https://www.ncbi.nlm.nih.gov/pubmed/36772585 http://dx.doi.org/10.3390/s23031546 |
Ejemplares similares
-
DOA Estimation Method Based on Improved Deep Convolutional Neural Network
por: Zhao, Fangzheng, et al.
Publicado: (2022) -
Super resolution DOA estimation based on deep neural network
por: Liu, Wanli
Publicado: (2020) -
A-CRNN-Based Method for Coherent DOA Estimation with Unknown Source Number
por: Yao, Yuanyuan, et al.
Publicado: (2020) -
An Improved Toeplitz Approximation Method for Coherent DOA Estimation in Impulsive Noise Environments
por: Dai, Jiang’an, et al.
Publicado: (2023) -
Tensor Approach to DOA Estimation of Coherent Signals with Electromagnetic Vector-Sensor Array
por: Cao, Ming-Yang, et al.
Publicado: (2018)