Robust direction‐of‐arrival estimation approach using beamspace‐based deep neural networks...

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[HTML][HTML] 基于深度学习的FDA-MIMO 雷达协方差矩阵缺失数据恢复方法

丁梓航， 谢军伟， 王博 - 雷达学报, 2023 - radars.ac.cn
频控阵-多输入多输出(FDA-MIMO) 雷达通过波束形成技术实现抗干扰的研究已经十分丰富.
然而, 在实际工作中, 受元器件老化和存储设备容量等硬件因素的影响, 计算得到的信号协方差 …
被引用次数：4 相关文章 所有 2 个版本

Complex-Valued Neural Network with Multi-Step Training for Single-Snapshot DOA Estimation

Y Zhang, R Zeng, S Zhang, J Wang… - IEEE Geoscience and …, 2024 - ieeexplore.ieee.org
Estimating the direction of arrival (DOA) for single snapshot signals is paramount in practical
applications. In this letter, we present a method for single snapshot DOA estimation based …
被引用次数：3 相关文章 所有 2 个版本
[PDF] mdpi.com

DOA Estimation Based on Convolutional Autoencoder in the Presence of Array Imperfections

DC Chang, YT Liu - Electronics, 2023 - mdpi.com
Array imperfections may exist in an antenna system subject to non-ideal design and
practical limitations. It is difficult to accurately model array imperfections, and thus …
被引用次数：3 相关文章 所有 3 个版本

An Intelligent Anti-Interference Scheme for FDA-MIMO Radar Under Nonideal Condition

Z Ding, J Xie, L Lan, C Qi, X Gao - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
The realization of anti-interference technologies via beamforming for applications in
frequency diverse arrays and multiple-input and multiple-output (FDA-MIMO) radar is a field …
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Missing covariance matrix recovery with the FDA-MIMO radar using deep learning method

D Zihang, XIE Junwei, W Bo - 雷达学报, 2023 - radars.ac.cn
The realization of anti-jamming technologies via beamforming for applications in Frequency-
Diverse Arrays and Multiple-Input and Multiple-Output (FDA-MIMO) radar is a field that is …
被引用次数：4 相关文章

Angle Estimation for Bistatic MIMO Radar under Element Failure via Tensor Completion with Factor Priors

J Chen, Z Jiang, X Zhu, J Li - IEEE Transactions on Vehicular …, 2023 - ieeexplore.ieee.org
The presence of element failure results in an inevitable performance loss in angle estimation
in multiple-input multiple-output (MIMO) radar. In this article, we consider the angle …
被引用次数：3 相关文章

Hermitian Toeplitz Covariance Tensor Completion With Missing Slices for Angle Estimation in Bistatic MIMO Radars

J Chen, Y Zhang, C Yao, G Tu… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
The performances of the angle estimation algorithms may be significantly deteriorated by the
missing samples caused by array element failures in bistatic multiple-input–multiple-output …
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Effective High-Resolution Off-Grid DOA Estimation with Mutual Coupling via CNN Framework

H Wang, X Wang, X Lan, T Su - IEEE Sensors Journal, 2024 - ieeexplore.ieee.org
Achieving high-resolution direction-of-arrival (DOA) estimation under the condition of mutual
coupling (MC) is of great practical importance. Traditional parametric approaches are limited …
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Atomic Norm Regularized Tensor Completion for Angle Estimation in Bistatic MIMO Radar with Sensor Failures

J Chen, Y Song, J Zhang, C Yao - IEEE Sensors Journal, 2024 - ieeexplore.ieee.org
Faulty array sensors pose a significant challenge in accurately determining the target angles
in bistatic multiple-input multiple-output (MIMO) radar systems. To remedy this, we propose a …
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Millimeter wave–3D massive MIMO: Deep prior‐aided graph neural network combining with hierarchical residual learning for beamspace channel estimation

H Sudarsan, K Mahendran, S Rathika… - International Journal …, 2024 - Wiley Online Library
Millimeter Wave (mmWave) communication has emerged as a transformative technology at
the forefront of wireless communication. One of the key challenges in harnessing the …
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