Fully Automatic Computation of Diagonal Loading Levels for Robust Adaptive Beamforming

Du, Lin; Li, Jian; Stoica, Petre

doi:10.1109/taes.2010.5417174

Cited by 262 publications

(175 citation statements)

References 16 publications

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“…Then some steering-vector-uncertainty-setbased approaches have been proposed which can provide precise DL level computation [5,[8][9][10][11]. However, the results are related to the size of the uncertainty set which might be difficult to choose in practical scenarios [12]. Those algorithms mentioned above need user-parameters (UPs) while there are only a few UP-free approaches in the literature.…”

Section: Introductionmentioning

confidence: 99%

“…Typical UP-free methods include the Hoerl Kennard Baldwin method (HKB) [14,15], the mid-way (MW) method [16], and general linear combination (GLC) [12]. These methods are generally designed to achieve better estimates or reduce the singularity of the covariance matrix, and are able to deal with difficult conditions when the data length is quite limited.…”

Section: Introductionmentioning

confidence: 99%

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User–Parameter–Free Robust Adaptive Beamforming Algorithm for Vector–Sensor Arrayswithin the Hypercomplex Framework

Gou¹,

Liu²,

Ma³

et al. 2013

Journal of Electrical Engineering

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The major flaw of the conventional diagonal loading (DL) method is that it is unclear to choose appropriate DL levels or user-parameters (UPs), though several remarkable contributions have been made to regularize model errors without UPs. An UP-free algorithm for two-component vector-sensor arrays, which is robust to steering vector errors, is considered. The algorithm is within the hypercomplex framework using quaternions, and the optimal solution is found at the maximal correlation between the quaternionic and complex outputs. The performance of the proposed beamformer is illustrated via numerical simulations and is compared with several other UP-free adaptive beamformers.K e y w o r d s: array signal processing, robust adaptive beamforming, vector-sensor, user-parameter-free, quaternion

show abstract

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

User–Parameter–Free Robust Adaptive Beamforming Algorithm for Vector–Sensor Arrayswithin the Hypercomplex Framework

Gou¹,

Liu²,

Ma³

et al. 2013

Journal of Electrical Engineering

View full text Add to dashboard Cite

show abstract

“…These approaches are modeled based on arbitrary mismatch and can be interpreted as Capon beamformer with optimal diagonal loading when the level of uncertainty due the mismatches is precisely known. It is also worth mentioning that other approaches reported in [14,15] does not even need to specify the mismatch as the diagonal loading value will be calculated in the method.…”

Section: Introductionmentioning

confidence: 99%

Near Optimal Robust Adaptive Beamforming Approach Based on Evolutionary Algorithm

Mallipeddi¹,

Lie²,

Suganthan³

et al. 2011

PIER B

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Abstract-The presence of desired signal in the training data for sample covariance matrix calculation is known to lead to a substantial performance degradation, especially when the desired signal is the dominant signal in the training data. Together with the uncertainty in the look direction, most of the adaptive beamforming solutions are unable to approach the optimal performance. In this paper, we propose an evolutionary algorithm (EA) based robust adaptive beamforming that is able to achieve near optimal performance. The essence of the idea is to shape the array beam response such that it has maximum response in the desired signal's angular range and minimum response in the interferences' angular range. In addition, the approach introduces null-response constraints deduced from the array observation to achieve better interference cancelation performance. As a whole, the proposed optimization is solvable using an improved variant of the differential evolution (DE) algorithm. Numerical simulations are also presented to demonstrate the efficacy of the proposed algorithm.

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“…How to choose the diagonal loading level based on the information of the uncertainty of the array steering vector is an open problem. Recently, many automatic diagonal loading approaches have been developed [6][7][8][9][10]. These methods have high performance and can be seen as robust adaptive beamformers.…”

Section: Introductionmentioning

confidence: 99%

Robust Adaptive Beamformer Using Interpolation Technique for Conformal Antenna Array

Yang¹,

Yang²,

Nie³

et al. 2010

PIER B

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Abstract-A novel robust adaptive beamforming method for conformal array is proposed. By using interpolation technique, the cylindrical conformal array with directional antenna elements is transformed to a virtual uniform linear array with omni-directional elements. This method can compensate the amplitude and mutual coupling errors as well as desired signal point errors of the conformal array efficiently. It is a universal method and can be applied to other curved conformal arrays. After the transformation, most of the existing adaptive beamforming algorithms can be applied to conformal array directly. The efficiency of the proposed scheme is assessed through numerical simulations.

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Fully Automatic Computation of Diagonal Loading Levels for Robust Adaptive Beamforming

Cited by 262 publications

References 16 publications

User–Parameter–Free Robust Adaptive Beamforming Algorithm for Vector–Sensor Arrayswithin the Hypercomplex Framework

User–Parameter–Free Robust Adaptive Beamforming Algorithm for Vector–Sensor Arrayswithin the Hypercomplex Framework

Near Optimal Robust Adaptive Beamforming Approach Based on Evolutionary Algorithm

Robust Adaptive Beamformer Using Interpolation Technique for Conformal Antenna Array

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