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High-resolution Direction-of-Arrival estimation

2022
Direction of Arrival (DOA) estimation is considered one of the most crucial problems in array signal processing, with considerable research efforts for developing efficient and effective direction-finding algorithms, especially in the transportation industry, where the demand for an effective, real-time, and accurate DOA algorithm is increasing ...
openaire   +2 more sources

Uncertainty quantification for direction-of-arrival estimation with conformal prediction.

Journal of the Acoustical Society of America, 2023
Uncertainty quantification (UQ) of deep learning (DL)-based acoustic estimation methods is useful for establishing confidence in the predictions. This is crucial to enable the real-world applicability of DL-based systems for acoustic tasks. Specifically,
Ishan D. Khurjekar, P. Gerstoft
semanticscholar   +1 more source

Mirrored Arrays for Direction-of-Arrival Estimation

ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2020
A mirrored array configuration, which consists of an ordinary linear array and a reflector, is proposed. The mirrored arrays can provide composable degrees of freedom (DOF) for array processing by combined measurements with the help of mechanical adjustment (e.g., movement or rotation).
Dong Zhu, Gang Li, Xiao-Ping Zhang
openaire   +1 more source

Direction of arrival estimation method for ground source based on optimally polarized Rayleigh waves.

Journal of the Acoustical Society of America, 2023
This paper points out a critical issue in the study of estimating the azimuth of ground sources by using the polarization characteristics of Rayleigh waves: even if the signal quality is good, the degree of polarization of Rayleigh waves varies across ...
Xin Wang   +6 more
semanticscholar   +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

Deep Convolutional Network-Assisted Multiple Direction-of-Arrival Estimation

IEEE Signal Processing Letters
Multiple direction-of-arrival estimation is one of the core functions in array signal processing and has many engineering applications. It is proposed that it can be realized using a two-stage strategy which consists of multiclass classification for ...
Jie Ma   +3 more
semanticscholar   +1 more source

Direction of Arrival Filters for Improved Aberration Estimation

Ultrasonic Imaging, 2008
Successful adaptive imaging requires accurate measurements of the aberration profile across the array surface. Two-dimensional spatial filters are used to obtain more accurate estimates of aberrating layers by suppressing wavefronts emanating from off-axis scatterers.
Jeremy J, Dahl, Thomas J, Feehan
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Subspace estimators of direction of arrival

Conference Record of the Thirty-Eighth Asilomar Conference on Signals, Systems and Computers, 2004., 2005
We consider in this paper a class of techniques for the estimation of the direction of arrival of a narrowband signal. Eigenvectors of a spectral covariance matrix corresponding to a number of the lowest eigenvalues are used to estimate the bearing. It is shown that the estimator has a non-standard asymptotic distribution.
openaire   +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   +4 more
semanticscholar   +1 more source

Decentralized Direction of Arrival Estimation

2017
Direction-of-arrival (DOA) estimation using partly calibrated arrays composed of multiple subarrays is employed in various practical applications, such as radar, sonar, and seismic exploration. The state-of-the-art DOA estimation algorithms require the measurements of all sensors to be available at a processing center (PC).
openaire   +1 more source

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