Robust Adaptive Beamforming based on Automatic Variable Loading in Array Antenna

Diagonal loading technology is widely used in array antenna beamforming because of its simple method, low computational complexity and the ability to improve the robustness of beamformer. On this basis, this paper proposes a robust adaptive beamforming method based on automatic variable loading technology. The automatic variable loading matrix (AVLM) of the method is composed of two parts. The non-uniform loading matrix dominants when the input signal-to-noise ratio (SNR) is small, effectively control the influence of noise disturbance without affecting the ability of array antenna to suppress interference. The variable diagonal loading matrix dominants when the input SNR is high to improve the output performance of array antenna. Simulated results show that compared to other methods, the proposed method has better output performance for both low and high input SNR cases.

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Robust adaptive beamforming with enhancing the interference suppression capability

APSIPA Transactions on Signal and Information Processing ◽

10.1017/atsip.2019.9 ◽

2019 ◽

Vol 8 ◽

Author(s):

Linxian Liu ◽

Yang Li

Keyword(s):

Performance Optimization ◽

Signal To Noise Ratio ◽

Interference Suppression ◽

Adaptive Beamforming ◽

Training Data ◽

Worst Case ◽

Diagonal Loading ◽

Steering Vector ◽

Robust Adaptive Beamforming ◽

Robust Adaptive

AbstractThe steering vector mismatch causes signal self-nulling for adaptive beamforming when the training data contain the desired signal component. To prevent signal self-nulling, many beamformers use robust technology, which is usually equivalent to the diagonal loading approach. Unfortunately, the diagonal loading approach achieves better signal enhancement at the cost of losing its interference suppression capability, especially at high input signal-to-noise ratio. In this paper, a novel robust adaptive beamforming method is developed to improve the interference suppression capability. The proposed beamformer is based on the worst-case performance optimization technology with a new estimated steering vector and a special set parameter. Firstly, a subspace which is orthogonal to the interference's steering vector is obtained by using the interference-plus-noise covariance matrix; then a new steering vector which is orthogonal to each interference's steering vector is estimated; finally, the beamformer's weight is solved with the worst-case performance optimization technology with a special set parameter. Theoretical analysis of the interference suppression principle is analyzed in detail, and some simulation results are presented to evaluate the performance of the proposed beamformer.

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Robust Adaptive Beamforming using Desired Signal Steering Vector Estimation and Variable Loading

The 12th International Conference on Advances in Information Technology ◽

10.1145/3468784.3468790 ◽

2021 ◽

Author(s):

Raungrong Suleesathira

Keyword(s):

Adaptive Beamforming ◽

Variable Loading ◽

Steering Vector ◽

Robust Adaptive Beamforming ◽

Steering Vector Estimation ◽

Vector Estimation ◽

Robust Adaptive

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A Recursive Algorithm to Robust Adaptive Beamforming and Diagonal Loading

2006 6th World Congress on Intelligent Control and Automation ◽

10.1109/wcica.2006.1712763 ◽

2006 ◽

Cited By ~ 1

Author(s):

Xin Song ◽

Jinkuan Wang ◽

Yinghua Han ◽

Yanbo Xue

Keyword(s):

Recursive Algorithm ◽

Adaptive Beamforming ◽

Diagonal Loading ◽

Robust Adaptive Beamforming ◽

Robust Adaptive

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Further Study on Robust Adaptive Beamforming With Optimum Diagonal Loading

IEEE Transactions on Antennas and Propagation ◽

10.1109/tap.2006.886473 ◽

2006 ◽

Vol 54 (12) ◽

pp. 3647-3658 ◽

Cited By ~ 80

Author(s):

Ayman Elnashar ◽

Said M. Elnoubi ◽

Hamdi A. El-Mikati

Keyword(s):

Adaptive Beamforming ◽

Diagonal Loading ◽

Robust Adaptive Beamforming ◽

Robust Adaptive

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Robust Adaptive Beamforming against Signal Steering Vector Mismatch and Jammer Motion

International Journal of Antennas and Propagation ◽

10.1155/2015/780296 ◽

2015 ◽

Vol 2015 ◽

pp. 1-12 ◽

Cited By ~ 7

Author(s):

Xiaojun Mao ◽

Wenxing Li ◽

Yingsong Li ◽

Yaxiu Sun ◽

Zhuqun Zhai

Keyword(s):

Adaptive Beamforming ◽

Projection Matrix ◽

Diagonal Loading ◽

Steering Vector ◽

Output Performance ◽

Sample Covariance ◽

Steering Vector Mismatch ◽

Simulation Results ◽

Robust Adaptive ◽

Analytical Expressions

Since adaptive beamformer suffers from output performance degradation in the presence of interference nonstationarity and signal steering vector mismatch, a novel robust null broadening adaptive beamforming is proposed. The proposed method is realized by the combination of projection transform and diagonal loading techniques. First, a new projection matrix with null broadening ability is constructed and then projects the array received data onto the projection matrix. With the diagonal loading technique, a new sample covariance matrix is obtained. The theoretical analysis shows that the projection transform operation can expand the incident direction of the interference and improve orthogonality between the signal-plus-interference and the noise subspaces; thus the proposed beamformer can effectively broaden the jammer null and enhance the null depth. The analytical expressions of the proposed algorithm are also provided, which are efficient and easily solved. Simulation results are presented and demonstrated that the proposed beamformer can provide strong robustness against signal steering vector mismatch and jammer motion.

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