Results 171 to 180 of about 17,864 (202)

Source number estimation using eigenspace in direction of arrival (DOA) estimate

OCEANS 2009-EUROPE, 2009
A source number estimation using eigenspace is presented. It projects estimated covariance matrix of array signal into signal eigen subspace and noise eigen subspace respectively. Using the orthogonality between signal eigen subspace and noise eigen subspace, it is easy to differentiate the contribution of signal and noise by using the criterion value,
null Zhu Weiqing, null Hu Juan, null Liu Xiaodong, null Liu Zhiyu, null Zhu Min   +4 more
openaire   +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

Virtural receiving array (VRA) method for direction of arrival (DOA) estimation

Proceedings of the 2012 IEEE International Symposium on Antennas and Propagation, 2012
Using the data from a signal-element receiver on a moving Unmanned Arial Vehicle (UAV), this paper introduces a VRA method to obtain the data that can be used in the Direct Data Domain (D3) method for the signal DOA estimation.
Chen Wu, Emil Poliakov, Anne Young, Yahia Antar   +3 more
openaire   +1 more source

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, Yuzhen Huang
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.
Mingyang Chen, Qiang Li, Lei Huang, Lifang Feng, Mohamed Rihan   +4 more
semanticscholar   +1 more source

Performance enhancement of aperture antennas used for estimation of Direction of Arrival (DOA)

2014 IEEE Antennas and Propagation Society International Symposium (APSURSI), 2014
In this paper, we propose a method based on signal processing techniques to improve the performance of aperture antennas, such as a parabolic reflector, used to estimate the Direction of Arrival (DOA) of a signal. Three signal processing algorithms are investigated, including the correlation method, which is used to make an initial estimate of the ...
Weibo Wang, Xiang Gu, Raj Mittra
openaire   +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, Chenmu Li, Guolong 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, Dajun Sun, Tingting Teng
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.
Anbang Zhao, Keren Wang, Juan Hui, Pengfei 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, Lingxuan Ye, Gaofeng Cheng, Yonghong Yan   +4 more
semanticscholar   +1 more source