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Computationally efficient DOA estimation for monostatic MIMO radar based on covariance matrix reconstruction
Computationally efficient DOA estimation for monostatic MIMO radar based on covariance matrix reconstruction
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Computationally efficient DOA estimation for monostatic MIMO radar based on covariance matrix reconstruction

Zhang, Yu ; Zhang, Gong ; Wang, Xinhai

Electronics letters, 2017-01, Vol.53 (2), p.111-113 [Periódico revisado por pares]

The Institution of Engineering and Technology

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2
Robust adaptive beamforming using low-complexity correlation coefficient calculation algorithms
Robust adaptive beamforming using low-complexity correlation coefficient calculation algorithms
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Robust adaptive beamforming using low-complexity correlation coefficient calculation algorithms

Chen, Fengfeng ; Shen, Feng ; Song, Jinyang

Electronics letters, 2015-03, Vol.51 (6), p.443-445 [Periódico revisado por pares]

The Institution of Engineering and Technology

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3
DOA estimation in the presence of unknown non-uniform noise with coprime array
DOA estimation in the presence of unknown non-uniform noise with coprime array
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DOA estimation in the presence of unknown non-uniform noise with coprime array

Tian, Ye ; Shi, Hongyin ; Xu, He

Electronics letters, 2017-01, Vol.53 (2), p.113-115 [Periódico revisado por pares]

The Institution of Engineering and Technology

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4
Attentively Learning Edge Distributions for Semantic Segmentation of Remote Sensing Imagery
Attentively Learning Edge Distributions for Semantic Segmentation of Remote Sensing Imagery
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Attentively Learning Edge Distributions for Semantic Segmentation of Remote Sensing Imagery

Li, Xin ; Li, Tao ; Chen, Ziqi ; Zhang, Kaiwen ; Xia, Runliang

Remote sensing (Basel, Switzerland), 2022-01, Vol.14 (1), p.102 [Periódico revisado por pares]

Basel: MDPI AG

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5
Clutter Covariance Matrix Estimation for Radar Adaptive Detection Based on a Complex-Valued Convolutional Neural Network
Clutter Covariance Matrix Estimation for Radar Adaptive Detection Based on a Complex-Valued Convolutional Neural Network
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Clutter Covariance Matrix Estimation for Radar Adaptive Detection Based on a Complex-Valued Convolutional Neural Network

Kang, Naixin ; Shang, Zheran ; Liu, Weijian ; Huang, Xiaotao

Remote sensing (Basel, Switzerland), 2023-11, Vol.15 (22), p.5367 [Periódico revisado por pares]

Basel: MDPI AG

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6
Filter-based regularisation for impulse response modelling
Filter-based regularisation for impulse response modelling
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Filter-based regularisation for impulse response modelling

Marconato, Anna ; Schoukens, Maarten ; Schoukens, Johan

IET control theory & applications, 2017-01, Vol.11 (2), p.194-204 [Periódico revisado por pares]

The Institution of Engineering and Technology

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7
A Robust Adaptive Extended Kalman Filter Based on an Improved Measurement Noise Covariance Matrix for the Monitoring and Isolation of Abnormal Disturbances in GNSS/INS Vehicle Navigation
A Robust Adaptive Extended Kalman Filter Based on an Improved Measurement Noise Covariance Matrix for the Monitoring and Isolation of Abnormal Disturbances in GNSS/INS Vehicle Navigation
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A Robust Adaptive Extended Kalman Filter Based on an Improved Measurement Noise Covariance Matrix for the Monitoring and Isolation of Abnormal Disturbances in GNSS/INS Vehicle Navigation

Yin, Zhihui ; Yang, Jichao ; Ma, Yue ; Wang, Shengli ; Chai, Dashuai ; Cui, Haonan

Remote sensing (Basel, Switzerland), 2023-09, Vol.15 (17), p.4125 [Periódico revisado por pares]

Basel: MDPI AG

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8
Robust adaptive beamforming using IAA-based interference-plus-noise covariance matrix reconstruction
Robust adaptive beamforming using IAA-based interference-plus-noise covariance matrix reconstruction
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Robust adaptive beamforming using IAA-based interference-plus-noise covariance matrix reconstruction

Wang, Yasen ; Bao, Qinglong ; Chen, Zengping

Electronics letters, 2016-06, Vol.52 (13), p.1185-1186 [Periódico revisado por pares]

The Institution of Engineering and Technology

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9
Clutter covariance matrix estimation using weight vectors in knowledge-aided STAP
Clutter covariance matrix estimation using weight vectors in knowledge-aided STAP
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Clutter covariance matrix estimation using weight vectors in knowledge-aided STAP

Jeon, H ; Chung, Y ; Chung, W ; Kim, J ; Yang, H

Electronics letters, 2017-04, Vol.53 (8), p.560-562 [Periódico revisado por pares]

The Institution of Engineering and Technology

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10
Estimating Control Points for B-Spline Surfaces Using Fully Populated Synthetic Variance–Covariance Matrices for TLS Point Clouds
Estimating Control Points for B-Spline Surfaces Using Fully Populated Synthetic Variance–Covariance Matrices for TLS Point Clouds
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Estimating Control Points for B-Spline Surfaces Using Fully Populated Synthetic Variance–Covariance Matrices for TLS Point Clouds

Raschhofer, Jakob ; Kerekes, Gabriel ; Harmening, Corinna ; Neuner, Hans ; Schwieger, Volker

Remote sensing (Basel, Switzerland), 2021-08, Vol.13 (16), p.3124 [Periódico revisado por pares]

Basel: MDPI AG

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