A Novel Ultra-Fast Ultra-Simple Adaptive Blind Beamforming Algorithm for Smart Antenna Arrays

Jabbar, Ahmed N.

doi:10.2528/pierb11091504

Cited by 9 publications

(14 citation statements)

References 24 publications

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“…Smart antenna technology is a very interesting and challenging issue in modern communications [1][2][3]. One of the major interests concerns the design of antenna arrays that produce radiation patterns dynamically shaped according to certain signal directions that vary with time.…”

Section: Introductionmentioning

confidence: 99%

Adaptive Beamforming With Low Side Lobe Level Using Neural Networks Trained by Mutated Boolean Pso

Zaharis

Gotsis

Sahalos

2012

PIER

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Abstract-A new adaptive beamforming technique based on neural networks (NNs) is proposed. The NN training is accomplished by applying a novel optimization method called Mutated Boolean PSO (MBPSO). In the beginning of the procedure, the MBPSO is repeatedly applied to a set of random cases to estimate the excitation weights of an antenna array that steer the main lobe towards a desired signal, place nulls towards several interference signals and achieve the lowest possible value of side lobe level. The estimated weights are used to train efficiently a NN. Finally, the NN is applied to a new set of random cases and the extracted radiation patterns are compared to respective patterns extracted by the MBPSO and a well-known robust adaptive beamforming technique called Minimum Variance Distortionless Response (MVDR). The aforementioned comparison has been performed considering uniform linear antenna arrays receiving several interference signals and a desired one in the presence of additive Gaussian noise. The comparative results show the advantages of the proposed technique.

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Section: Introductionmentioning

confidence: 99%

Adaptive Beamforming With Low Side Lobe Level Using Neural Networks Trained by Mutated Boolean Pso

Zaharis

Gotsis

Sahalos

2012

PIER

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“…Through the use of proposed technique, smart antenna arrays for DOA estimation will have the benefits of smaller size and better resolution. The proposed technique in this study can also be applied to many other topics in smart antennas or wireless communication systems [20][21][22][23][24][25][26][27][28][29][30][31][32].…”

Section: Resultsmentioning

confidence: 99%

Reducing the Array Size for Doa Estimation by an Antenna Mode Switch Technique

Cheng¹,

Lee²

2012

PIER

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Abstract-In this paper, an antenna-mode-switch technique is proposed to reduce the array size for the DOA (direction-of-arrival) estimation. Conventional DOA estimation requires many elements of antenna array to achieve high resolution, and then suffers from large array size. To improve such disadvantages, this paper proposes an antenna-mode-switch technique to reduce the required number of array elements. Our results show that the required number of array elements will be greatly reduced by using the proposed technique. Furthermore, a bow-tie antenna design for implementing the proposed antennamode-switch technique is also proposed. The results prove that highresolution and accurate properties of such a practical antenna design is very close to those of the ideal antenna mode.

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“…Array signal processing has been widely used in sensing and dataacquisition systems ranging from radar [1], mobile communications [2][3][4][5], cognitive radio [6] and medical imaging [7]. A versatile approach of array signal processing is beamforming [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15][16][17][18][19], which is used to detect and enhance a desired signal while suppressing interference and noise at the output of an array of sensors.…”

Section: Introductionmentioning

confidence: 99%

“…A versatile approach of array signal processing is beamforming [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15][16][17][18][19], which is used to detect and enhance a desired signal while suppressing interference and noise at the output of an array of sensors. It is well known that the benefits brought by beamforming such as signal-to-noise ratio enhancement and spatial resolution are restricted by the ratio of array aperture size relative to the working wavelength.…”

Section: Introductionmentioning

confidence: 99%

Robust Superdirective Beamforming for Hf Circular Receive Antenna Arrays

Zhou¹,

Gao²,

Zhang³

et al. 2013

PIER

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Abstract-Superdirective beamforming can highly reduce the aperture size of high-frequency receive array. At the same time, the closely spaced elements of a small aperture array can make it low efficiency and sensitivity to the array uncertainty, which limit its application in practice. Using a parameter called sensitivity factor, we found that array efficiency and robustness against array error could be considered simultaneously. On that basis, we derive a novel superdirective beamforming criterion based on a constrained sensitivity factor for the HF circular receive array. New method is analytical and computationally inexpensive. Through making the directive gain with a given sensitivity factor maximum, we calculate the optimal weights of the array elements. To illustrate the proposed method can increase the acceptance of HF superdirective receive arrays in practice, several numerical results are provided.

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A Novel Ultra-Fast Ultra-Simple Adaptive Blind Beamforming Algorithm for Smart Antenna Arrays

Cited by 9 publications

References 24 publications

Adaptive Beamforming With Low Side Lobe Level Using Neural Networks Trained by Mutated Boolean Pso

Adaptive Beamforming With Low Side Lobe Level Using Neural Networks Trained by Mutated Boolean Pso

Reducing the Array Size for Doa Estimation by an Antenna Mode Switch Technique

Robust Superdirective Beamforming for Hf Circular Receive Antenna Arrays

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