Robust Adaptive Beamforming Using Noise Reduction Preprocessing-Based Fully Automatic Diagonal Loading and Steering Vector Estimation

Ke, Yuxuan; Zheng, Chengshi; Peng, Renhua; Li, Xiaodong

doi:10.1109/access.2017.2725450

Cited by 31 publications

(15 citation statements)

References 40 publications

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“…Moreover, the robustness of binary tree SVMs is also very strong [17]. The combination of the two can effectively extract and classify the fault information of electronic circuits, confirming the feasibility and effectiveness of the method [18][19][20][21][22].…”

Section: Analysis Of Fault Diagnosis Results Of Ism Dae-svm Electronic Circuitmentioning

confidence: 89%

Motion Control System of Numerical Control Machine Tool Under Image Processing

2020

IJOMAM

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The study is employed to reduce mechanical faults and improve the work efficiency of machinery. This paper adopts intelligent detection means and systematically detects the machinery faults. First, a new feature extraction method is used for the sparse automatic encoder that proposed to solve the problem of insufficient feature extraction of the informational fault of the equipment. Second, the binary tree support vector machine (SVM) is used to classify faults. Finally, the electronic circuit of the three-spot resistance welder's fault is detected to verify the reliability of the sparse automatic encoder. The research result shows that the use of sparse automatic encoders can enhance the robustness of non-Gaussian noise. At the same time, the convolutional neural network (CNN) technology is combined to perform edge noise reduction on its encoder. It can improve the feature extraction degree of electronic circuit information. The binary tree SVM can effectively classify mechanical faults and the results of output judgment whether the mechanical equipment is faulty or not. The automatic encoder is used to detect the fault of the three-spot resistance welder, and the fault detection result of the new detection method has higher accuracy and high reliability. The new fault detection method can efficiently detect mechanical faults and promotes the work efficiency of machinery, and ultimately the entire society.

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Section: Analysis Of Fault Diagnosis Results Of Ism Dae-svm Electronic Circuitmentioning

confidence: 89%

Motion Control System of Numerical Control Machine Tool Under Image Processing

2020

IJOMAM

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“…The Doppler filter bank or partial pulse selection can be completed by means of the dimension reduction matrix T a [10]. Meanwhile, in order to guarantee the reversibility of the clutter temporal covariance matrix, the diagonal loading technique [23] must be used. Therefore, the temporal covariance matrix of the lth range cell can be estimated as…”

Section: A Adaptive Segmentation Of Nonstationary Clutter Regionmentioning

confidence: 99%

Clutter Suppression Approach for End-Fire Array Airborne Radar Based on Adaptive Segmentation

Li¹,

Xie²,

Mao³

et al. 2019

IEEE Access

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End-fire array antenna is a kind of special radar antenna with beam pointing perpendicular to the normal direction of the array. Because of its low profile and directional radiation characteristics, it is especially suitable for blind zone compensation of airborne radar. However, there are few publicly available pieces of literature on clutter suppression for end-fire array radar. In this paper, we firstly simulate and analyze the clutter spectrum characteristics for end-fire array airborne radar (EAAR), and then propose a clutter suppression method for EAAR based on adaptive segmentation. In the proposed method, the concept of Riemann mean distance of temporal covariance matrix is introduced to quantify the clutter nonstationarity, and in this way we realize adaptive segmentation of the clutter range-Doppler spectrum. Then the different clutter suppression methods including pulse Doppler (PD) processing, two-dimensional space-time adaptive processing (2D STAP), and three-dimensional STAP (3D STAP) are used to suppress clutter in different regions. The theoretical analysis and simulation results demonstrate that compared with 3D STAP, the proposed method not only guarantees clutter suppression performance, but also reduces the computational complexity to an extent.

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“…The adaptive beamforming problem [6,13,14] is essentially to design the optimal weight vector w that minimizes the interference-plus-noise output power while maintaining unity response of the desired signal. min…”

Section: Steering Vector Mismatch Estimation For R-iaslc Algorithmmentioning

confidence: 99%

“…In these years, improving the robustness of the beamformer against the mismatch of SV is becoming an essential requirement, and several contributions have been proposed to work on it [6,7]. Against the direction of arrival (DOA) [8,9] mismatch, the most common technique is to delimit one set of unity-gain constraints for a small range of angles around the presumed look direction.…”

Section: Introductionmentioning

confidence: 99%

Robust Adaptive Sidelobe Canceller Using Sv Mismatch Estimation

Zuyi¹,

Shen²,

Liang³

et al. 2018

PIER Letters

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Abstract-In this paper, to overcome signal-to-interference-and-noise ratio (SINR) performance degradation in the presence of steering vector (SV) mismatch between beam pointing and desired signal's SVs, we study the mismatch of SV with adaptive uncertainty level. This estimation is derived based on the geometrical interpretation of the mismatch and can be expressed as a simple closed-form expression as a function of the presumed SV and the signal-subspace projection. Then, the adaptive uncertainty algorithm self-adjusts the uncertainty sphere according to the estimated mismatch SV at each iteration. Finally, the robust adaptive sidelobe canceller (R-IASLC) algorithm can accurately evaluate the mismatches between the actual and presumed SVs and improve the target SINR. Simulation results verify the effectiveness of this method.

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Robust Adaptive Beamforming Using Noise Reduction Preprocessing-Based Fully Automatic Diagonal Loading and Steering Vector Estimation

Cited by 31 publications

References 40 publications

Motion Control System of Numerical Control Machine Tool Under Image Processing

Motion Control System of Numerical Control Machine Tool Under Image Processing

Clutter Suppression Approach for End-Fire Array Airborne Radar Based on Adaptive Segmentation

Robust Adaptive Sidelobe Canceller Using Sv Mismatch Estimation

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