Results 271 to 280 of about 224,819 (313)

Neural Network Adaptation and Data Augmentation for Multi-Speaker Direction-of-Arrival Estimation

IEEE/ACM Transactions on Audio Speech and Language Processing, 2021
Deep neural networks have been successfully applied to sound direction-of-arrival estimation under challenging conditions. However, such a learning-based approach requires a large amount of labeled training data, which is difficult to acquire. To address
Weipeng He, P. Motlícek, J. Odobez
semanticscholar   +1 more source

Deep Learning-Aided Coherent Direction-of-Arrival Estimation With the FTMR Algorithm

IEEE Transactions on Signal Processing, 2022
In this work, we apply deep learning to estimate the direction-of-arrival (DoA) of multiple narrowband signals with a uniform linear array in a coherent environment.
Dai Trong Hoang, Kyungchun Lee
semanticscholar   +1 more source

Direction-of-Arrival Estimation for Coprime Array via Virtual Array Interpolation

IEEE Transactions on Signal Processing, 2018
Coprime arrays can achieve an increased number of degrees of freedom by deriving the equivalent signals of a virtual array. However, most existing methods fail to utilize all information received by the coprime array due to the non-uniformity of the ...
Chengwei Zhou, Yujie Gu, Xingyi Fan, Zhiguo Shi, Guoqiang Mao, Yimin D. Zhang   +5 more
semanticscholar   +1 more source

Generalized Nested Array Configuration Family for Direction-of-Arrival Estimation

IEEE Transactions on Vehicular Technology, 2023
Sparse arrays have obvious superiority in array element layout and the number of degrees of freedom (DOF) for resolving more sources than the number of physical sensors with high estimation accuracy. Nevertheless, any of the existing array configurations
Pinjiao Zhao, Qisong Wu, Zhengyu Chen, Guobing Hu, Liwei Wang, Liangtian Wan   +5 more
semanticscholar   +1 more source

Two-dimensional direction-of-arrival estimation based on time-domain-coding digital metasurface

Applied Physics Letters, 2022
Direction-of-arrival (DOA) estimation is one of the most critical technologies of radar, remote sensing, and wireless communications. The traditional DOA estimation is closely related to phased array antennas, which require complicated and expensive ...
Q. Zhou, J. Wu, Sissi Wang, Z. Fang, Li Jie Wu, J. Ke, J. Dai, T. Cui, Q. Cheng   +8 more
semanticscholar   +1 more source

Multifunctional Space–Time-Modulated Metasurface for Direction of Arrival Estimation and RCS Manipulation in a Single System

IEEE transactions on microwave theory and techniques
In this article, we propose a multifunctional space–time-modulated metasurface (STM-MTS) able to perform simultaneously a direction of arrival (DoA) estimation and radar cross section (RCS) manipulation in a single system.
X. Fang, Mengmeng Li, Ziyang Lai, D. Ramaccia, A. Toscano, F. Bilotti, Da-zhi Ding   +6 more
semanticscholar   +1 more source

A Comprehensive Review of Direction of Arrival (DoA) Estimation Techniques and Algorithms

Journal of Electronics and Electrical Engineering
Direction of Arrival (DOA) estimation is a pivotal aspect of Array Signal Processing (ASP) with significant implications for the performance of modern communication systems.
Saanvi Kulkarni, Avani Thakur, Samraddhi Soni, Anil Hiwale, M. Belsare, A. B. Raj   +5 more
semanticscholar   +1 more source

Direction-of-Arrival Estimation of Coherent Signals for Uniform Linear Antenna Arrays With Mutual Coupling in Unknown Nonuniform Noise

IEEE Transactions on Vehicular Technology, 2022
We recently proposed a direction-of-arrival (DOA) estimation method for the coexistence of uncorrelated and coherent signals, which is related to the uniform linear antenna arrays with mutual coupling (MC) in the presence of unknown nonuniform noise ...
Yunfei Fang, Shengqi Zhu, Yongchan Gao, Lan Lan, Cao Zeng, Zhixin Liu   +5 more
semanticscholar   +1 more source

Deep Convolution Network for Direction of Arrival Estimation With Sparse Prior

IEEE Signal Processing Letters, 2019
In this letter, a deep learning framework for direction of arrival (DOA) estimation is developed. We first show that the columns of the array covariance matrix can be formulated as under-sampled noisy linear measurements of the spatial spectrum.
Liu-li Wu, Zhangmeng Liu, Zhitao Huang
semanticscholar   +1 more source

Passive synthetic aperture for direction-of-arrival estimation using sparse Bayesian learning.

Journal of the Acoustical Society of America, 2023
Passive synthetic aperture (PSA) extension for a moving array has the ability to enhance the accuracy of direction-of-arrival (DOA) estimation by constructing a larger virtual aperture.
Chao Ming, Haiqiang Niu, Zhuguo Li, Yu Wang   +3 more
semanticscholar   +1 more source