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Journal articles on the topic 'Linear beamforming'

Author: Grafiati

Published: 4 June 2021

Last updated: 18 February 2022

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1

Shi, Shuangning, Yong Shang, and Qinglin Liang. "A Novel Linear Beamforming Algorithm." PIERS Online 3, no. 7 (2007): 1089–92. http://dx.doi.org/10.2529/piers061007112619.

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2

Jiang, Xue, Wen-Jun Zeng, A. Yasotharan, Hing Cheung So, and Thiagalingam Kirubarajan. "Robust Beamforming by Linear Programming." IEEE Transactions on Signal Processing 62, no. 7 (2014): 1834–49. http://dx.doi.org/10.1109/tsp.2014.2304438.

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3

Jiang, Xue, Wen-Jun Zeng, Hing Cheung So, Abdelhak M. Zoubir, and Thiagalingam Kirubarajan. "Beamforming via Nonconvex Linear Regression." IEEE Transactions on Signal Processing 64, no. 7 (2016): 1714–28. http://dx.doi.org/10.1109/tsp.2015.2507543.

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4

Barber, Christopher, Kyle M. Becker, David L. Bradley, Michael L. Zucker, and Andrew T. Kankey. "Linear array beamforming in harbor environments." Journal of the Acoustical Society of America 124, no. 4 (2008): 2559. http://dx.doi.org/10.1121/1.4783055.

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5

Mizumachi, Mitsunori, and Ryotarou Oka. "Non-linear beamformer with long short-term memory network." INTER-NOISE and NOISE-CON Congress and Conference Proceedings 263, no. 2 (2021): 4355–60. http://dx.doi.org/10.3397/in-2021-2673.

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Acoustic beamforming with a microphone array enables spatial filtering in a wide frequency range. It is a challenging issue to sharpen the main-lobe in the lower frequency region with a small-scale microphone array, of which the number and spacing of microphones are small. A neural network-based non-linear beamformer achieves a breakthrough in sharpening the main-lobe. The non-linear beamforming works well for the narrowband signals but is weak in wideband beamforming. The non-linear beamforming with the long short-term memory is proposed to deal with wideband speech signals. The long short-te

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6

Jovanović, Ana, Luka Lazović, and Vesna Rubežić. "Adaptive Array Beamforming Using a Chaotic Beamforming Algorithm." International Journal of Antennas and Propagation 2016 (2016): 1–8. http://dx.doi.org/10.1155/2016/8354204.

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The Chaotic beamforming adaptive algorithm is new adaptive method for antenna array’s radiation pattern synthesis. This adaptive method based on the optimization of the Least Mean Square algorithm using Chaos theory enables fast adaptation of antenna array radiation pattern, reduction of the noisy reference signal’s impact, and the improvement of the tracking capabilities. We performed simulations for linear and circular antenna arrays. We also compared the performances of the used and existing algorithms in terms of the radiation pattern comparison.

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7

Ram, Gopi, Durbadal Mandal, Rajib Kar, and Sakti Prasad Ghoshal. "Optimized hyper beamforming of receiving linear antenna arrays using Firefly algorithm." International Journal of Microwave and Wireless Technologies 6, no. 2 (2013): 181–94. http://dx.doi.org/10.1017/s175907871300086x.

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In this paper, an optimized hyper beamforming method is presented based on a hyper beam exponent parameter for receiving linear antenna arrays using a new meta-heuristic search method based on the Firefly algorithm (FFA). A hyper beam is derived from the sum and difference beam patterns of the array, each raised to the power of a hyper beam exponent parameter. As compared to the conventional hyper beamforming of the linear antenna array, FFA applied to the hyper beam of the same array can achieve much more reduction in sidelobe level (SLL) and improved first null beam width (FNBW), keeping the

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8

Su, Xin, and KyungHi Chang. "Polarized Uniform Linear Array System: Beam Radiation Pattern, Beamforming Diversity Order, and Channel Capacity." International Journal of Antennas and Propagation 2015 (2015): 1–9. http://dx.doi.org/10.1155/2015/371236.

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There have been many studies regarding antenna polarization; however, there have been few publications on the analysis of the channel capacity for polarized antenna systems using the beamforming technique. According to Chung et al., the channel capacity is determined by the density of scatterers and the transmission power, which is obtained based on the assumption that scatterers are uniformly distributed on a 3D spherical scattering model. However, it contradicts the practical scenario, where scatterers may not be uniformly distributed under outdoor environment, and lacks the consideration of

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9

Liu, Yang, Jing Li, and Hao Wang. "Robust Linear Beamforming in Wireless Sensor Networks." IEEE Transactions on Communications 67, no. 6 (2019): 4450–63. http://dx.doi.org/10.1109/tcomm.2019.2903251.

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10

Poli, Lorenzo, Paolo Rocca, Giacomo Oliveri, and Andrea Massa. "Harmonic Beamforming in Time-Modulated Linear Arrays." IEEE Transactions on Antennas and Propagation 59, no. 7 (2011): 2538–45. http://dx.doi.org/10.1109/tap.2011.2152323.

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11

Liu, Chao, Zhizhong Ding, and Xiaoping Liu. "A Low Complexity 2D Pattern Synthesis Algorithm for Cylindrical Array." International Journal of Antennas and Propagation 2013 (2013): 1–6. http://dx.doi.org/10.1155/2013/352843.

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This paper proposes a 2D pattern synthesis algorithm for cylindrical array. According to the geometric characteristic of cylinder, we can regard a cylindrical array as an equivalent linear array whose elements are identical circular subarrays. Therefore, the beam pattern can be obtained by the product of the array factor of linear array and beam pattern of circular subarray. Then, the 2D beamforming can be realized by two 1D beamforming processes. We can prove that the complex excitation vector of a cylindrical array is the Kronecker product of linear array’s weight vector and circular array’s

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12

Greco, Danilo, and Andrea Trucco. "Superdirective Robust Algorithms’ Comparison for Linear Arrays." Acoustics 2, no. 3 (2020): 707–18. http://dx.doi.org/10.3390/acoustics2030038.

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Frequency-invariant beam patterns are often required by systems using an array of sensors to process broadband signals. In some experimental conditions (small devices for underwater acoustic communication), the array spatial aperture is shorter than the involved wavelengths. In these conditions, superdirective beamforming is essential for an efficient system. We present a comparison between two methods that deal with a data-independent beamformer based on a filter-and-sum structure. Both methods (the first one numerical, the second one analytic) formulate a mathematical convex minimization pro

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13

Ram, Gopi, Durbadal Mandal, Rajib Kar, and Sakti Prasad Ghoshal. "Optimized Hyper Beamforming of Linear Antenna Arrays Using Collective Animal Behaviour." Scientific World Journal 2013 (2013): 1–13. http://dx.doi.org/10.1155/2013/982017.

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A novel optimization technique which is developed on mimicking the collective animal behaviour (CAB) is applied for the optimal design of hyper beamforming of linear antenna arrays. Hyper beamforming is based on sum and difference beam patterns of the array, each raised to the power of a hyperbeam exponent parameter. The optimized hyperbeam is achieved by optimization of current excitation weights and uniform interelement spacing. As compared to conventional hyper beamforming of linear antenna array, real coded genetic algorithm (RGA), particle swarm optimization (PSO), and differential evolut

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14

Feng, Guiguo, Wangmei Guo, and Binyue Liu. "Achievable Rate Region under Linear Beamforming for Dual-Hop Multiple-Access Relay Network." Entropy 20, no. 8 (2018): 547. http://dx.doi.org/10.3390/e20080547.

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Consider a network consisting of two independent single-antenna sources, a single-antenna destination and a helping multiple-antenna relay. This network is called a dual-hop multiple access relay network (MARN). In this network, sources transmit to the relay simultaneously in the first time slot. The relay retransmits the received sum-signal to the destination using a linear beamforming scheme in the second time slot. In this paper, we characterize the achievable rate region of MARN under linear beamforming. The achievable rate region characterization problem is first transformed to an equival

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15

Martin, Eileen R. "A linear algorithm for ambient seismic noise double beamforming without explicit crosscorrelations." GEOPHYSICS 86, no. 1 (2021): F1—F8. http://dx.doi.org/10.1190/geo2019-0847.1.

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Geoscientists and engineers are increasingly using denser arrays for continuous seismic monitoring, and they often turn to ambient seismic noise interferometry for low-cost near-surface imaging. Although ambient noise interferometry greatly reduces acquisition costs, the computational cost of pair-wise comparisons between all sensors can be prohibitively slow or expensive for applications in engineering and environmental geophysics. Double beamforming of noise correlation functions is a powerful technique to extract body waves from ambient noise, but it is typically performed via pair-wise com

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16

Novikov, A. V., and V. A. Khlusov. "Receiving Linear Array Beamforming Using Spatially Variant Apodization." Proceedings of Tomsk State University of Control Systems and Radioelectronics 20, no. 2 (2017): 5–9. http://dx.doi.org/10.21293/1818-0442-2017-20-2-5-9.

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17

Xie, Lei, Chao Sun, and Jiwei Tian. "Deconvolved frequency-difference beamforming for a linear array." Journal of the Acoustical Society of America 148, no. 6 (2020): EL440—EL446. http://dx.doi.org/10.1121/10.0002927.

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18

Tarng, J. H., and Y. F. Lin. "Effect of rough surface scattering on linear beamforming." Journal of the Acoustical Society of America 92, no. 4 (1992): 2393. http://dx.doi.org/10.1121/1.404749.

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19

Binan Yang. "Digital beamforming of a linear FM pulse array." IEE Proceedings F Communications, Radar and Signal Processing 134, no. 7 (1987): 709. http://dx.doi.org/10.1049/ip-f-1.1987.0120.

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20

Mizumachi, Mitsunori, and Maya Origuchi. "Superdirective non-linear beamforming with deep neural network." Journal of the Acoustical Society of America 140, no. 4 (2016): 3167. http://dx.doi.org/10.1121/1.4969946.

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21

Paul, Souradip, Subhamoy Mandal, and Mayanglambam Suheshkumar Singh. "Noise Adaptive Beamforming for Linear Array Photoacoustic Imaging." IEEE Transactions on Instrumentation and Measurement 70 (2021): 1–11. http://dx.doi.org/10.1109/tim.2021.3103260.

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22

Mu, Fei Yan, Jie Lin, Jia Fen Zhang, and Jing He. "Near-Field Beamforming Based on the Constrained Optimization." Advanced Materials Research 850-851 (December 2013): 864–67. http://dx.doi.org/10.4028/www.scientific.net/amr.850-851.864.

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This paper studies the near-field beamforming. Based on near-field model, a constraint optimum beamforming algorithm is proposed. The algorithm transforms solving weight value into optimal solution searching, and obtains the optimal weight value by iterative solution. The algorithm can produce optimal beamforming under restricted mainlobe condition. Analogously, it can produce the optimal beam forming under sidelobe constraint. The algorithm can be modified appropriately depending on the desired targets to achieve the desired response control constraints. The algorithm is simple. The simulatio

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23

Nakatani, Hayato, Talieh Hajzargarbashi, Kaita Ito, Tribikram Kundu, and Nobuo Takeda. "Locating Point of Impact on an Anisotropic Cylindrical Surface Using Acoustic Beamforming Technique." Key Engineering Materials 558 (June 2013): 331–40. http://dx.doi.org/10.4028/www.scientific.net/kem.558.331.

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A beamforming array technique with four sensors is applied to a cylindrical geometry for detecting point of impact. A linear array of acoustic sensors attached to the plate record the waveforms of Lamb waves generated at the impact point with individual time delay. A beamforming technique in conjunction with an optimization scheme that incorporates the direction dependent guided Lamb wave speed in cylindrical plates is developed. The optimization is carried out using the experimentally obtained wave speed as a function of propagation direction. The maximum value in the beamforming plot corresp

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24

Brodal, Eivind, Frank Melandsø, and Svein Jacobsen. "Performance of an Ultrasonic Imaging System Based on a 45-MHz Linear PVDF Transducer Array: A Numerical Study." Advances in Acoustics and Vibration 2011 (May 31, 2011): 1–15. http://dx.doi.org/10.1155/2011/984596.

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New designs of high-resolution ultrasonic imaging systems that operate in the 30–100 MHz region, for example, those based on linear transducer systems, are currently being investigated for medical purposes. Acoustic waves with frequencies in this range can detect microscopic structures in human tissue but will typically only penetrate a few mm because of large attenuation. However, this is sufficient for a diagnostic ultrasound scan of human skin. The signal-to-noise ratio and the focusing properties of the scanner are critical factors in dermatology, which are determined by the transducer des

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25

KIM, Joontae, and Dong-Jo PARK. "On Spherical Linear Interpolation for MIMO-OFDM Beamforming Systems." IEICE Transactions on Communications E94-B, no. 5 (2011): 1487–90. http://dx.doi.org/10.1587/transcom.e94.b.1487.

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26

QIAN, Huaming, Ke LIU, and Wei WANG. "Shrinkage Widely Linear Recursive Least Square Algorithms for Beamforming." IEICE Transactions on Communications E99.B, no. 7 (2016): 1532–40. http://dx.doi.org/10.1587/transcom.2015ebp3322.

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27

Chen, H. W., and J. W. Zhao. "Wideband MVDR beamforming for acoustic vector sensor linear array." IEE Proceedings - Radar, Sonar and Navigation 151, no. 3 (2004): 158. http://dx.doi.org/10.1049/ip-rsn:20040651.

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28

Karipidis, Eleftherios, Nicholas D. Sidiropoulos, and Zhi-Quan Luo. "Far-Field Multicast Beamforming for Uniform Linear Antenna Arrays." IEEE Transactions on Signal Processing 55, no. 10 (2007): 4916–27. http://dx.doi.org/10.1109/tsp.2007.897903.

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29

Mozaffarzadeh, Moein, Yan Yan, Mohammad Mehrmohammadi, and Bahador Makkiabadi. "Enhanced linear-array photoacoustic beamforming using modified coherence factor." Journal of Biomedical Optics 23, no. 02 (2018): 1. http://dx.doi.org/10.1117/1.jbo.23.2.026005.

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30

Nannuru, Santosh, Ali Koochakzadeh, Kay L. Gemba, Piya Pal, and Peter Gerstoft. "Sparse Bayesian learning for beamforming using sparse linear arrays." Journal of the Acoustical Society of America 144, no. 5 (2018): 2719–29. http://dx.doi.org/10.1121/1.5066457.

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31

Liang, Yang-wen, Robert Schober, and Wolfgang Gerstacker. "FIR Beamforming for Frequency-Selective Channels with Linear Equalization." IEEE Communications Letters 11, no. 7 (2007): 622–24. http://dx.doi.org/10.1109/lcomm.2007.070336.

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32

Silva, Yu, and A. Klein. "Linear Transmit Beamforming Techniques for the Multigroup Multicast Scenario." IEEE Transactions on Vehicular Technology 58, no. 8 (2009): 4353–67. http://dx.doi.org/10.1109/tvt.2009.2021603.

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33

Venturino, Luca, Narayan Prasad, and Xiaodong Wang. "Coordinated linear beamforming in downlink multi-cell wireless networks." IEEE Transactions on Wireless Communications 9, no. 4 (2010): 1451–61. http://dx.doi.org/10.1109/twc.2010.04.090553.

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34

Wu, Xiaomin, Yunlong Cai, Minjian Zhao, Rodrigo C. de Lamare, and Benoit Champagne. "Adaptive Widely Linear Constrained Constant Modulus Reduced-Rank Beamforming." IEEE Transactions on Aerospace and Electronic Systems 53, no. 1 (2017): 477–92. http://dx.doi.org/10.1109/taes.2017.2650838.

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35

Viet Tuan, Pham, Pham Ngoc Son, Tran Trung Duy, et al. "Optimizing a Secure Two-Way Network with Non-Linear SWIPT, Channel Uncertainty, and a Hidden Eavesdropper." Electronics 9, no. 8 (2020): 1222. http://dx.doi.org/10.3390/electronics9081222.

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In this paper, the optimization of downlink beamforming vectors, uplink transmission power, and power-splitting factors is investigated for a secure two-way SWIPT network in the presence of a hidden eavesdropper and non-linear energy harvesting circuits over both perfect and imperfect channels. The eavesdropper is inactive, so its channel information is not available at the base stations (BSs). The purpose of artificial noise is to create downlink interference with the hidden eavesdropper as much as possible, while satisfying the quality of service for two-way communications. For perfect downl

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36

Zhou, Qing Fang, Yan Yan Yu, Lei Wang, and Jun Yang. "Research and Design of Beamforming Device of SLC-LSCMA Algorithm Based on FPGA." Applied Mechanics and Materials 347-350 (August 2013): 1677–81. http://dx.doi.org/10.4028/www.scientific.net/amm.347-350.1677.

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In this paper,we design a uniform circular array beamforming device of 16 yuan based on the least squares SLC-LSCMA algorithm (based on the linear subspace constrained least squares cma) high stability and rapid convergence for the foundation. The design of the complete beam-forming the SLC-LSCMA algorithm by plural, time-multiplier and accumulators, which uses less resources and faster than the traditional algorithm. The beamforming device uses hardware description language of Verilog HDL , and wires on the QUARTUS II 8.0. Finally the beamforming device is downloaded to the Alteras EP2C35F672

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37

Wang, Wei, and Eric W. Gill. "Evaluation of Beamforming and Direction Finding for a Phased Array HF Ocean Current Radar." Journal of Atmospheric and Oceanic Technology 33, no. 12 (2016): 2599–613. http://dx.doi.org/10.1175/jtech-d-15-0181.1.

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AbstractThe errors in the current radial velocity measurements are examined using Bartlett beamforming and Multiple Signal Classification (MUSIC) direction-finding algorithms with a linear phased array antenna system. A variety of radar and environmental parameters are examined. Suggestions for the optimal choice of operating parameters are proposed. The MUSIC algorithm has shown promising performance in current measurement when beamforming is used to first establish the maximum current velocity. Comparisons of radar field data and current meter measurements show RMS radial velocity difference

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38

Ibrahim Khan, Muhammad, Muhammad Juanid Mughal, and Rana Liaqat Ali. "Cosine Least Mean Square Algorithm for Adaptive Beamforming." International Journal of Engineering & Technology 7, no. 3.16 (2018): 94. http://dx.doi.org/10.14419/ijet.v7i3.16.16191.

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Beamforming and multiple-input multiple-output (MIMO) antenna configurations have received worldwide interest during the recent time. Various beamforming algorithm has been proposed and employed in different applications. The Least Mean Square (LMS) algorithm has become one of the most widespread adaptive beamforming techniques because of its simplicity and robustness. This paper presents a new variant of LMS algorithm named as Cosine Least Mean Square (Cos-LMS) which uses the efficient computation of array factor for linear antenna array.This algorithm gives improved performance in beam width

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39

Han, Yubing, and Jian Wang. "Adaptive Beamforming Based on Compressed Sensing with Smoothedl0Norm." International Journal of Antennas and Propagation 2015 (2015): 1–10. http://dx.doi.org/10.1155/2015/959856.

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An adaptive beamforming based on compressed sensing with smoothedl0norm for large-scale sparse receiving array is proposed in this paper. Because of the spatial sparsity of the arriving signal, compressed sensing is applied to sample received signals with a sparse array and reduced channels. The signal of full array is reconstructed by using a compressed sensing reconstruction method based on smoothedl0norm. Then an iterative linearly constrained minimum variance beamforming algorithm is adopted to form antenna beam, whose main lobe is steered to the desired direction and nulls to the directio

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40

Darzi, Soodabeh, Tiong Sieh Kiong, Mohammad Tariqul Islam, Mahamod Ismail, Salehin Kibria, and Balasem Salem. "Null Steering of Adaptive Beamforming Using Linear Constraint Minimum Variance Assisted by Particle Swarm Optimization, Dynamic Mutated Artificial Immune System, and Gravitational Search Algorithm." Scientific World Journal 2014 (2014): 1–10. http://dx.doi.org/10.1155/2014/724639.

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Linear constraint minimum variance (LCMV) is one of the adaptive beamforming techniques that is commonly applied to cancel interfering signals and steer or produce a strong beam to the desired signal through its computed weight vectors. However, weights computed by LCMV usually are not able to form the radiation beam towards the target user precisely and not good enough to reduce the interference by placing null at the interference sources. It is difficult to improve and optimize the LCMV beamforming technique through conventional empirical approach. To provide a solution to this problem, arti

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41

Poli, Lorenzo, Toshifumi Moriyama, and Paolo Rocca. "Pulse Splitting for Harmonic Beamforming in Time-Modulated Linear Arrays." International Journal of Antennas and Propagation 2014 (2014): 1–9. http://dx.doi.org/10.1155/2014/797590.

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A novel strategy for harmonic beamforming in time-modulated linear arrays is proposed. The pulse splitting technique is exploited to simultaneously generate two harmonic patterns, one at the central frequency and another at a preselected harmonic of arbitrary order, while controlling the maximum level of the remaining sideband radiations. An optimization strategy based on the particle swarm optimizer is developed in order to determine the optimal parameters describing the pulse sequence used to modulate the excitation weights of the array elements. Representative numerical results are reported

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42

Issa Mohsin, Asma, Asaad S. Daghal, and Adheed Hasan Sallomi. "A beamforming study of the linear antenna array using grey wolf optimization algorithm." Indonesian Journal of Electrical Engineering and Computer Science 20, no. 3 (2020): 1538. http://dx.doi.org/10.11591/ijeecs.v20.i3.pp1538-1546.

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<p><br />The grey wolf optimization (GWO) algorithm is considered an inspired meta-heuristic algorithm, which inspired by the social hierarchy and hunting behavior of the grey wolves. GWO has a high-performance capability of solving constrained, as well as unconstrained optimization problems. In this paper, the beamforming of smart antennas in a code division multiple access system based on the GWO algorithm is investigated. The sidelobe level (SLL) is minimized along with peak sidelobe level reduction, as well as an optimal beam pattern has been accomplished by using GWO to unifor

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43

Shi, Yun-Mei, Lei Huang, Cheng Qian, and H. C. So. "Shrinkage Linear and Widely Linear Complex-Valued Least Mean Squares Algorithms for Adaptive Beamforming." IEEE Transactions on Signal Processing 63, no. 1 (2015): 119–31. http://dx.doi.org/10.1109/tsp.2014.2367452.

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44

Lv, Wenjing, Rui Wang, Jun Wu, Zhijun Fang, and Songlin Cheng. "Joint Design of Beamforming and Edge Caching in Fog Radio Access Networks." Security and Communication Networks 2021 (September 18, 2021): 1–8. http://dx.doi.org/10.1155/2021/1935453.

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In this paper, we study a novel transmission framework based on statistical channel state information (SCSI) by incorporating edge caching and beamforming in a fog radio access network (F-RAN) architecture. By optimizing the statistical beamforming and edge caching, we formulate a comprehensive nonconvex optimization problem to minimize the backhaul cost subject to the BS transmission power, limited caching capacity, and quality-of-service (QoS) constraints. By approximating the problem using the l 0 -norm, Taylor series expansion, and other processing techniques, we provide a tailored second-

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45

Huang, Lei, Jing Zhang, Long Zhang, and Zhongfu Ye. "Widely linear minimum dispersion beamforming for sub-Gaussian noncircular signals." Signal Processing 122 (May 2016): 123–28. http://dx.doi.org/10.1016/j.sigpro.2015.10.012.

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46

Pan, Chao, Jingdong Chen, and Jacob Benesty. "Reduced-Order Robust Superdirective Beamforming With Uniform Linear Microphone Arrays." IEEE/ACM Transactions on Audio, Speech, and Language Processing 24, no. 9 (2016): 1548–59. http://dx.doi.org/10.1109/taslp.2016.2568044.

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47

Anselmi, Nicola, Paolo Rocca, Marco Salucci, and Andrea Massa. "Optimisation of excitation tolerances for robust beamforming in linear arrays." IET Microwaves, Antennas & Propagation 10, no. 2 (2016): 208–14. http://dx.doi.org/10.1049/iet-map.2015.0508.

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48

Zhang, Baoying, and Xiang Xie. "Beamforming design for linear loudspeaker array with different feeding distribution." Journal of the Acoustical Society of America 131, no. 4 (2012): 3217. http://dx.doi.org/10.1121/1.4707999.

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49

Bin Liao and Shing-Chow Chan. "Adaptive Beamforming for Uniform Linear Arrays With Unknown Mutual Coupling." IEEE Antennas and Wireless Propagation Letters 11 (2012): 464–67. http://dx.doi.org/10.1109/lawp.2012.2196017.

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50

Silverman, Harvey F. "DSP beamforming and talker tracking with a linear microphone array." Journal of the Acoustical Society of America 87, S1 (1990): S2. http://dx.doi.org/10.1121/1.2028157.

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