Augmented covariance matrix reconstruction for DOA estimation using difference coarray
Z Zheng, Y Huang, WQ Wang… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
As is well known, nonuniform linear arrays have significant advantages in array aperture
and degrees of freedom over uniform linear arrays. Using their difference coarrays …
and degrees of freedom over uniform linear arrays. Using their difference coarrays …
Gridless DOA estimation and root-MUSIC for non-uniform linear arrays
M Wagner, Y Park, P Gerstoft - IEEE transactions on signal …, 2021 - ieeexplore.ieee.org
Gridless direction of arrival (DOA) estimation is addressed for a 1-D non-uniform array
(NUA) of arbitrary geometry. Currently, gridless DOA estimation is solved via convex …
(NUA) of arbitrary geometry. Currently, gridless DOA estimation is solved via convex …
Direction of arrival estimation of wideband sources using sparse linear arrays
In this paper, we study the problem of wideband direction of arrival (DoA) estimation with
sparse linear arrays (SLAs), where a number of uncorrelated wideband signals impinge on …
sparse linear arrays (SLAs), where a number of uncorrelated wideband signals impinge on …
Direction of arrival estimation using sparse nested arrays with coprime displacement
J Li, Y He, P Ma, X Zhang, Q Wu - IEEE Sensors Journal, 2020 - ieeexplore.ieee.org
Direction of arrival (DOA) estimation using new proposed array geometries named sparse
nested arrays with coprime displacement (SNACD) is discussed in this paper. The SNACD …
nested arrays with coprime displacement (SNACD) is discussed in this paper. The SNACD …
Subspace representation learning for sparse linear arrays to localize more sources than sensors: A deep learning methodology
Localizing more sources than sensors with a sparse linear array (SLA) has long relied on
minimizing a distance between two covariance matrices and recent algorithms often utilize …
minimizing a distance between two covariance matrices and recent algorithms often utilize …
Atom-constrained Gridless DOA Refinement with Wirtinger Gradients
Y Park, P Gerstoft… - IEEE Open Journal of …, 2024 - ieeexplore.ieee.org
This paper proposes gridless sparse direction-of-arrival (DOA) refinement using gradient-
based optimization. The objective function minimizes the fit between the sample covariance …
based optimization. The objective function minimizes the fit between the sample covariance …
[PDF][PDF] DOA estimation using massive receive MIMO: Basic principles, key techniques, performance analysis, and applications
As massive multiple-input multiple-output (MIMO) becomes popular, direction of arrival
(DOA) measurement has been made a real renaissance due to the high-resolution …
(DOA) measurement has been made a real renaissance due to the high-resolution …
基于原子范数的波达方向与时延联合估计方法
徐明， 唐倩 - 通信学报, 2024 - infocomm-journal.com
为了解决水声通信环境下自主式水下机器人定位难的问题, 提出了一种基于原子范数的波达方向
(DOA) 与时延联合估计方法. 首先, 基于水声多径多普勒效应的特点建立信道冲激响应公式 …
(DOA) 与时延联合估计方法. 首先, 基于水声多径多普勒效应的特点建立信道冲激响应公式 …
Gridless Bayesian Inference for DOA Estimation with Coprime Array
In this paper, we propose a gridless Bayesian inference based direction-of-arrival (DOA)
estimation algorithm with coprime array to overcome the basis mismatch arising in …
estimation algorithm with coprime array to overcome the basis mismatch arising in …
DOA Estimation Using Massive Receive MIMO: Basic Principle and Key Techniques
As massive multiple-input multiple-output (MIMO) becomes popular, direction of arrival
(DOA) measurement has been made a real renaissance due to the high-resolution …
(DOA) measurement has been made a real renaissance due to the high-resolution …