Sparse array motion can efficiently expand the numbers of achievable degrees of freedom (DOFs) and consecutive lags, improving direction-of-arrival (DOA) estimation. Sparse arrays on a moving platform benefit from motion translation that introduces new sensor positions, which collectively with the ...
In this paper, a sparse array design problem for non-Gaussian signal direction of arrival (DOA) estimation is investigated. Compared with conventional second-order cumulant- (SOC-) based methods, fourth-order cumulant- (FOC-) based methods achieve improved DOA estimation performance by utilizing all...
In this paper, a sparse array design problem for non-Gaussian signal direction of arrival (DOA) estimation is investigated. Compared with conventional second-order cumulant- (SOC-) based methods, fourth-order cumulant- (FOC-) based methods achieve improv
Sparse arrayHierarchical priorMaximum a posteriori (MAP)Variational inferenceThis paper reformulates the problem of direction-of-arrival (DOA) estimation for sparse array from a variational Bayesian perspective. In this context, we propose a hierarchical prior for the signal coefficients that amounts ...
Umesh, B.N., Khandare, A.: ECA-MURE algorithm and CRB analysis for high-precision DOA estimation in coprime sensor arrays. IEEE Sens. Lett. 7(12), 1–4 (2023) Google Scholar Umesh, B.N., Villagómez-Galindo, M.: Optimizing sensor array DOA estimation with the manifold reconstruction...
Sparse recovery-based methods for DOA estimation Robust DOA estimation in low SNR or small snapshot number Multi-dimensional sparse array signal processing Hardware implementation and design Applications to sonar, radar, MRI, geolocation, and other areas ...
2 Sparse Array Interpolation for Direction-of-Arrival Estimation 41 Chengwei Zhou, Yujie Gu, Yimin D. Zhang, and Zhiguo Shi2.1 Introduction 412.2 Virtual Array Interpolation for Gridless DOA Estimation 432.2.1 Discontiguous Coarray Model 43
The existing off-grid sparse Bayesian learning (SBL) DOA estimation method for nested arrays suffers from two major drawbacks: reduced array aperture and h... HZ Ye - 《Digital Signal Processing》 被引量: 0发表: 2018年 Sparse Bayesian learning for off-grid DOA estimation with nested arrays Th...
We propose a new array configuration composed of multi-scale scalar arrays and a single triangular spatially spread electromagnetic-vector-sensor (SS-EMVS) for high-accuracy two-dimensional (2D) direction-of-arrival (DOA) estimation. Two scalar arrays ar
The former are largely benign to the underlying environment and, in principle, seek to maximize the spatial degrees of freedom by extending the co-array aperture. This enables high resolution direction of arrival (DOA) estimation possibly involving more sources than the available physical sensors [...