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A DOA Tracking Algorithm for Coprime Planar Array via PAST

open access: yes2018 4th Annual International Conference on Network and Information Systems for Computers (ICNISC), 2018
Compared to traditional planar arrays, coprime planar arrays have more precise direction finding precision and higher degrees of freedom. As there is little research on DOA tracking of arbitrary dynamic targets in coprime arrays, a DOA tracking algorithm based on Projection Approximation Subspace Tracking (PAST) for coprime planar array is proposed. It
Meng-Jie Zhou   +4 more
exaly   +4 more sources
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Symmetric Displaced Coprime Planar Array for Two-Dimensional Direction-of-Arrival Estimation

IEEE Sensors Journal, 2022
Recently, sparse planar arrays have been developed to improve the 2-D direction-of-arrival (DOA) estimation performance by their superiorities in the degree of freedom (DOF), array aperture, and mutual coupling over uniform planar arrays. In this article,
Zhi Zheng   +2 more
exaly   +3 more sources

FDA-MIMO radar for 3D localization: Virtual coprime planar array with unfolded coprime frequency offset framework and TRD-MUSIC algorithm

Digital Signal Processing, 2021
Abstract The frequency diverse array multiple-input multiple-output (FDA-MIMO) radar can detect target range by exploiting a small frequency offset across the transmit sensors, which can be utilized to jointly estimate angle and range. Nevertheless, the detection performance is basically restricted by the array aperture and signal bandwidth.
Cheng Wang, Jianfeng Li
exaly   +3 more sources

Two-Dimensional DOA estimation via matrix completion and sparse matrix recovery for coprime planar array

IEEE Transactions on Vehicular Technology, 2023
The coprime planar array (CPPA) can obtain a larger virtual aperture using the sum-difference co-array (SDCA). Nonetheless, the holes in the SDCA always cause the virtual aperture to be not fully utilized. In order to solve this issue, a two-dimensional (
Yongbo Zhao, Donghe Liu
exaly   +3 more sources

Recursive Extended Instrumental Variable Based LCMV Beamformers for Planar Radial Coprime Arrays Under Spatially Colored Noise

open access: yesIEEE Transactions on Aerospace and Electronic Systems, 2021
This article proposes a new recursive linearly constrained minimum variance (LCMV) beamformer based on the extended instrumental variable (EIV) method for planar radial coprime arrays (PRCAs) under spatially colored noise. The proposed recursive LCMV beamformer is able to deal with multiple constraints with high precision and low complexity and can be ...
Jian-Qiang Lin, Shing-Chow Chan
semanticscholar   +3 more sources

Shift-Based Symmetric Coprime Planar Arrays With Increased Degrees of Freedom and Reduced Mutual Coupling

IEEE Transactions on Vehicular Technology
In the past decade, design of sparse planar arrays has increasingly become a focal point, driven by its superior performance in terms of degrees of freedom (DOFs) and anti-mutual-coupling effects compared to other uniform distributed planar arrays.
Wei Cui, Kejiang Wu, Qing Shen
exaly   +3 more sources

Two-Dimensional DOA Estimation via a Novel Sparse Array Consisting of Coprime and Nested Subarrays

IEEE Communications Letters, 2020
In this letter, a novel sparse array consisting of coprime and nested subarrays is designed and a corresponding two-dimensional (2-D) direction of arrival (DOA) estimation method is presented.
Weijian Si, Fuhong Zeng, Zhiyu Qu
exaly   +2 more sources

Shift-Based Symmetric Coprime Planar Arrays for Direction Finding with Enhanced Uniform Degrees of Freedom

2024 IEEE/CIC International Conference on Communications in China (ICCC Workshops)
Recently, sparse planar arrays have attracted significant attention due to its advantage in underdetermined two-dimensional (2-D) direction of arrival (DOA) estimation.
Zexiang Zhang   +5 more
openaire   +2 more sources

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