Results 171 to 180 of about 173,505,536 (199)

Dual Class Token Vision Transformer for Direction of Arrival Estimation in Low SNR

IEEE Signal Processing Letters
In this letter, we propose a deep learning-based method for the direction of arrival (DOA) estimation in the low signal-to-noise ratio (SNR) scenario.
Yu Guo, Zhi Zhang, Yu-zhen Huang
semanticscholar   +1 more source

A Method for Estimating the Direction of Arrival Without Knowing the Source Number Using Acoustic Vector Sensor Arrays

IEEE Transactions on Geoscience and Remote Sensing
Since it is difficult to obtain the number of sources accurately in practical situations, direction-of-arrival (DOA) estimation methods without the number of sources are very much needed for noncooperative targets and maritime attack-defense pairings. In
Feng Chen, Desen Yang, Shiqi Mo, Xingyu Huang, Mingguang Wang, Zhongrui Zhu, Ying Li   +6 more
semanticscholar   +1 more source

One-Bit Cramér–Rao Bound of Direction of Arrival Estimation for Deterministic Signals

IEEE Transactions on Circuits and Systems - II - Express Briefs
One-bit direction of arrival (DOA) estimation has received considerable attention in recent years due to its ability to reduce complexity, cost, and storage in radar and wireless communication systems.
Ming-Yang Chen, Qiang Li, Lei Huang, Lifang Feng, Mohamed Rihan   +4 more
semanticscholar   +1 more source

Bayesian Direction-of-Arrival Estimation Using Atomic Norm Minimization With Prior Knowledge

IEEE Transactions on Aerospace and Electronic Systems
This article concerns the direction-of-arrival (DOA) estimation problem in the Bayesian framework by using the sparse methods that incorporate the prior knowledge within the array observation data.
Tianyi Jia, Hong-Wei Liu, Chang Gao, Jun-Kun Yan   +3 more
semanticscholar   +1 more source

Sparsity-based direction-of-arrival estimation in the presence of near-field and far-field interferences for small-scale platform sonar arrays.

Journal of the Acoustical Society of America
For the sonar arrays mounted on an unmanned underwater vehicle (UUV), the direction-of-arrival (DOA) estimation of the far-field (FF) weak sources is influenced by the near-field (NF) interferences generated from the radiated self-noise of the UUV and ...
Zhiyao Du, Yunbo Hao, Longhao Qiu, Chen-Mu Li, Guo-Long Liang   +4 more
semanticscholar   +1 more source

A high-resolution method for direction of arrival estimation based on an improved self-attention module.

Journal of the Acoustical Society of America
The high-resolution direction of arrival (DOA) estimation is a prominent research issue in underwater acoustics. The existing high-resolution methods include subspace methods and sparse representation methods. However, the performance of subspace methods
Xiaoying Fu, Da-Jun Sun, Ting-Ting Teng
semanticscholar   +1 more source

Multi-target direction-of-arrival estimation of deep models with frame-level permutation invariant training in marine acoustic environment.

Journal of the Acoustical Society of America
Direction-of-arrival (DoA) estimation is an important part in sonar signal processing, providing a reliable foundation for tasks, such as underwater object detection and tracking.
Weihang Nie, Zehui Yang, Ling-Xuan Ye, Ji Xu   +3 more
semanticscholar   +1 more source

Grid-free algorithms for direction-of-arrival trajectory localization.

Journal of the Acoustical Society of America
Direction-of-arrival (DOA) estimation algorithms are crucial in localizing acoustic sources. Traditional localization methods rely on block-level processing to extract the directional information from multiple measurements processed together.
Ruchi Pandey, S. Nannuru
semanticscholar   +1 more source

Estimating the direction of arrival of spatially spread sources using block-sparse Bayesian learning with an extended dictionary.

Journal of the Acoustical Society of America
Estimating the direction of arrival (DOA) of spatially spread sources is a significant challenge in array signal processing. This work introduces an effective method within the sparse Bayesian framework to tackle this issue.
An-Bang Zhao, Ke-Ren Wang, Juan Hui, Peng-Fei Song, Jiabin Guo   +4 more
semanticscholar   +1 more source

Reliable underwater multi-target direction of arrival estimation with optimal transport using deep models.

Journal of the Acoustical Society of America
Multi-target direction of arrival (DoA) estimation is an important and challenging task for sonar signal processing. In this study, we propose a method called learning direction of arrival with optimal transport (LOT) to accurately estimate the DoAs of ...
Zehui Yang, Weihang Nie, Ling-Xuan Ye, Gaofeng Cheng, Yonghong Yan   +4 more
semanticscholar   +1 more source