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Robust Adaptive Beamforming with Null Broadening

2016 Revista Técnica de la Facultad de Ingeniería Universidad del Zulia  
Adaptive beamformers are sensitive to mismatch of the array steering vector of the desired signal and motional interference.  ...  In this paper, a new robust adaptive beamforming algorithm via null broadening is investigated, which is obtained by reconstructing and optimizing the interference-plus-noise covariance matrix, and estimating  ...  vector to improve the robustness against mismatch of the array steering vector of the desired signal.  ... 
doi:10.21311/001.39.6.48 fatcat:yrcbrcoe7jechbyiul5szdinzi

ROBUST ADAPTIVE BEAMFORMING AGAINST ARRAY CALIBRATION ERRORS

Kai Yang, Zhiqin Zhao, Qing Huo Liu
2013 Electromagnetic Waves  
In this paper, we develop a modified interference covariance matrix reconstruction based beamformer that is robust against large array calibration errors.  ...  Adaptive beamforming methods degrade in the presence of model mismatch.  ...  In this paper, we propose a modified interference-plus-noise covariance matrix reconstruction based robust adaptive beamformer against array calibration errors.  ... 
doi:10.2528/pier13042203 fatcat:xsafhwaysrfzvoqwaa5plzwnuy

Robust Null Broadening Beamforming Based on Covariance Matrix Reconstruction via Virtual Interference Sources

Jian Yang, Jian Lu, Xinxin Liu, Guisheng Liao
2020 Sensors  
Based on the reconstructed INC and signal-plus-noise covariance (SNC) matrices, the steering vector of the desired signal can be obtained by solving a new convex optimization problem.  ...  A novel null broadening beamforming method based on reconstruction of the interference-plus-noise covariance (INC) matrix is proposed, in order to broaden the null width and offset the motion of the interfering  ...  In recent years, due to its good robustness against mismatches, a novel robust adaptive beamforming method based on covariance matrix reconstruction and steering vector estimation has attracted much attention  ... 
doi:10.3390/s20071865 pmid:32230886 fatcat:ft6qsebvlnbxfcvxytb7z3emxq

Efficient Antenna Array Beamforming With Robustness Against Random Steering Mismatch

Ju-Hong Lee, Ching-Wei Liao, Kun-Che Lee
2018 Zenodo  
This paper deals with the problem of using antenna sensors for adaptive beamforming in the presence of random steering mismatch.  ...  Finally, the adaptive weight vector required for adaptive beamforming is obtained by using the estimated steering vector and the constructed correlation matrix of the array data vector.  ...  Then, the reconstructed correlation matrix of the array data vector and the estimated steering vector are utilized for adaptive beamforming.  ... 
doi:10.5281/zenodo.1340605 fatcat:h5luozd67zcxxewje7o4lyiuem

A robust adaptive beamforming method based on the matrix reconstruction against a large DOA mismatch

Julan Xie, Huiyong Li, Zishu He, Chaohai Li
2014 EURASIP Journal on Advances in Signal Processing  
A novel adaptive beamforming algorithm against large direction-of-arrival (DOA) mismatch without using optimization toolboxes is proposed.  ...  Without estimating the desired signal steering vector, an optimal weight can finally be solved by rotating this orthogonal subspace based on the output power of the desired signal maximization.  ...  In [16] , authors have proposed a robust beamformer based on the interference-plus-noise covariance matrix reconstruction and steering vector estimation.  ... 
doi:10.1186/1687-6180-2014-91 fatcat:a3okxzrf2rchjgkc5axpzj5afy

Robust Adaptive Beamforming Using k-means Clustering: A Solution to High Complexity of the Reconstruction-Based Algorithm

Z. H. Tan, W. M. Jia, W. Jin
2018 Radioengineering  
Recently, a new robust adaptive beamforming (RAB) algorithm has been proposed to reconstruct the interference-plus-noise covariance matrix (IPNCM) based on narrowing the interference angular domain and  ...  The method is robust against unknown arbitrary-type mismatches. However, its computational complexity will increase exponentially with the number of array sensors.  ...  Conclusions A new IPNCM reconstruction algorithm based on kmeans clustering for robust adaptive beamforming is proposed.  ... 
doi:10.13164/re.2018.0595 fatcat:zn7lqoi6pfbjvgkszrja4kjk5e

Robust Adaptive Null Broadening Method Based on FDA-MIMO Radar

Zihang Ding, Junwei Xie, Bo Wang, Haowei Zhang
2020 IEEE Access  
In this paper, a null broadening algorithm with robust adaptive beamforming based on covariance matrix reconstruction is proposed.  ...  In [19] , the covariance matrix was reconstructed by the obtained taper matrix and the sample covariance matrix. However, these methods have poor robustness against mismatches in the array. In ref.  ... 
doi:10.1109/access.2020.3025602 fatcat:akf7zp5awfef7dqiztdpcrm2gu

High Performance Robust Adaptive Beamforming in the Presence of Array Imperfections

Wenxing Li, Xiaojun Mao, Zhuqun Zhai, Yingsong Li
2016 International Journal of Antennas and Propagation  
Then a weighted summation of these two parts is utilized to reconstruct the IPN matrix. Moreover, a steering vector estimation method based on orthogonal constraint is also proposed.  ...  A high performance robust beamforming scheme is proposed to combat model mismatch. Our method lies in the novel construction of interference-plus-noise (IPN) covariance matrix.  ...  Robust adaptive beamforming based on steering vector estimation has been proposed in [10] .  ... 
doi:10.1155/2016/3743509 fatcat:jyl4ytp3pzcynamvof3mzwb2ci

Fast and accurate covariance matrix reconstruction for adaptive beamforming using Gauss-Legendre quadrature

Liu Shuai, Zhang Xue, Yan Fenggang, Wang Jun, Jin Ming
2021 Journal of Systems Engineering and Electronics  
Most of the reconstruction-based robust adaptive beamforming (RAB) algorithms require the covariance matrix reconstruction (CMR) by high-complexity integral computation.  ...  The new method has significantly reduced the complexity as compared to most state-of-the-art reconstruction-based RAB techniques, and it is able to provide the similar performance close to the optimal.  ...  Robust adaptive beamforming based on interference covariance matrix reconstruction and steering vector estimation.  ... 
doi:10.23919/jsee.2021.000005 fatcat:uztrcfpui5hbljae3yv3z6is5a

A DIFFERENTIAL EVOLUTION APPROACH FOR ROBUST ADAPTIVE BEAMFORMING BASED ON JOINT ESTIMATION OF LOOK DIRECTION AND ARRAY GEOMETRY

Rammohan Mallipeddi, Joni Polili Lie, P. N. Suganthan, Sirajudeen Gulam Razul, Chong Meng S. See
2011 Electromagnetic Waves  
Based on the obtained steering vector, estimate for look direction and reconstructed covariance matrix, near optimal output SINR, can be obtained with the increase in the input SNR without observing any  ...  The performance of traditional beamformers tends to degrade due to inaccurate estimation of covariance matrix and imprecise knowledge of array steering vector.  ...  In [12] , an approach based on loading of the diagonal of the sample array covariance matrix is proposed to improve the robustness against more general mismatches.  ... 
doi:10.2528/pier11052205 fatcat:2ijjgmhg75bxniyqcvo5ferf7y

ROBUST ADAPTIVE BEAMFORMING BASED ON COVARIANCE MATRIX RECONSTRUCTION FOR LOOK DIRECTION MISMATCH

Rammohan Mallipeddi, Joni Polili Lie, Sirajudeen Gulam Razul, P. N. Suganthan, Chong Meng S. See
2011 Progress In Electromagnetics Research Letters  
The performance degradation in traditional adaptive beamformers can be attributed to the imprecise knowledge of the array steering vector and inaccurate estimation of the covariance matrix.  ...  The mismatch between the actual and presumed steering vectors can be mainly due to the error in the look direction estimate.  ...  Much of the effort in the design of robust adaptive beamforming has been focused on addressing this problem while ignoring the inaccurate covariance matrix estimation issue.  ... 
doi:10.2528/pierl11040104 fatcat:e4gsf3ghrbbfrn46x6vl7fup4a

Null broadening adaptive beamforming based on covariance matrix reconstruction and similarity constraint

Junhui Qian, Zishu He, Julan Xie, Yile Zhang
2017 EURASIP Journal on Advances in Signal Processing  
In contrast to previous works, we first impose nulls toward the regions of the nonstationary interference based on the reconstruction of the interference-plus-noise covariance matrix.  ...  Then, the adaptive weight vector can be computed via maximizing a new signal-to-interference-plus-noise ratio (SINR) criterion subject to similarity constraint.  ...  During the past decade, various adaptive beamformers have been proposed based on different principles to improve the robustness against the desired signal imprecisely [5] , such as signal-subspace projection  ... 
doi:10.1186/s13634-016-0440-1 fatcat:2zgf44w5irbbvbsbf3wehxo2yu

Robust Adaptive Beamforming Using a Low-Complexity Steering Vector Estimation and Covariance Matrix Reconstruction Algorithm

Pei Chen, Yongjun Zhao, Chengcheng Liu
2016 International Journal of Antennas and Propagation  
The proposed algorithm estimates the array steering vector (ASV) using a closed-form formula obtained by a subspace-based method and reconstructs the interference-plus-noise (IPN) covariance matrix by  ...  A novel low-complexity robust adaptive beamforming (RAB) technique is proposed in order to overcome the major drawbacks from which the recent reported RAB algorithms suffer, mainly the high computational  ...  On the other hand, the recent beamformers in [12, 13] enhance the robustness against ASV errors.  ... 
doi:10.1155/2016/2438183 fatcat:ybzfxshg55aaxhot3dgohiapd4

Robust widely linear beamforming using estimation of extended covariance matrix and steering vector

Zhen Meng, Weidong Zhou, Saeed Gazor
2020 EURASIP Journal on Wireless Communications and Networking  
As a remedy, we propose a robust WLB by using precise reconstruction of extended interference-plus-noise covariance matrix (EINCM) and low-complexity estimation of extended desired signal steering vector  ...  In contrast to the previous reconstruction methods using the integration over a wide angular sector, we reconstruct the interference-plus-noise covariance matrix (INCM) and the pseudo INCM accurately according  ...  Availability of data and materials The datasets generated and analyzed are available from the corresponding author on reasonable request.  ... 
doi:10.1186/s13638-020-01830-1 fatcat:pmplltmsmjebhokmnqzhr4sgfu

Robust MVDR beamforming based on covariance matrix reconstruction

PengCheng Mu, Dan Li, QinYe Yin, Wei Guo
2012 Science China Information Sciences  
Robust MVDR beamforming based on covariance matrix reconstruction.  ...  A new robust MVDR beamformer against the general steering vector errors is proposed in this paper.  ...  In this paper, we propose a new robust MVDR beamforming based on the reconstruction of the covariance matrix with the eigenanalysis technique.  ... 
doi:10.1007/s11432-012-4654-z fatcat:2gsymp35rngw7iodnth2pj62py
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