Antenna Arrays and Classical Beamforming

Asplund, Henrik; Astély, David; Butovitsch, Peter von; Chapman, Thomas; Frenne, Mattias; Ghasemzadeh, Farshid; Hagström, Måns; Hogan, Billy; Jöngren, George; Karlsson, Jonas; Kronestedt, Fredric; Larsson, Elisabeth

doi:10.1016/b978-0-12-820046-9.00004-6

Cited by 11 publications

(8 citation statements)

References 3 publications

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“…For radar systems, the beam pattern of a uniform linear array (ULA) is synthesized to ensure signal selectivity by direction [5], [6]. This is a common task because the area scanned by a radar can have interferers [7], [8].…”

Section: Beam Pattern Synthesismentioning

confidence: 99%

“…For this, a specific ULA sidelobe is cancelled. The canceller is constructed by rescaling the beam weights [5], [11]. In particular, this is done by increasing the number of sensors and shortening the scanning step.…”

Section: Beam Pattern Synthesismentioning

confidence: 99%

“…Then the response of desired steering at interference directions (3) is found [5], [11], [12], [22]:…”

Section: Simulation Parameters and Set-upmentioning

confidence: 99%

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Multiple Direction Interference Suppression by Uniform Linear Phased Array Sidelobe Efficient Canceller

Romanuke

2021

ITS

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Background. For radar systems, the beam pattern of a uniform linear array (ULA) is synthesized to ensure signal selectivity by direction. A specific ULA sidelobe is cancelled by rescaling the beam weights. In particular, this is done by increasing the number of sensors and shortening the scanning step. However, a noticeable limitation is a loss of the transmitted power. Therefore, the problem is to optimally balance the number of sensors versus effective ULA sidelobe cancellation. Objective. In order to ensure multiple direction interference suppression, the goal is to find an optimal number of ULA radar sensors for the beam pattern synthesis. The criterion is to determine such a minimum of these sensors at which mainlobes towards useful signal directions are evened as much as possible. Methods. To achieve the said goal, the ULA sidelobe cancellation is simulated. The simulation is configured and carried out by using MATLAB® R2020b Phased Array System ToolboxTM functions based on an algorithm of the sidelobe cancellation. Results. By increasing the number of ULA sensors, the beam pattern lobes are not only thinned but also change in their power. In particular, the interference direction sidelobes become relatively stronger. The number of sensors is limited by the three influencing factors: the thinned-array curse transmitted power loss, the aperture size, and the sidelobes intensification. Conclusions. An optimal number of ULA radar sensors for the beam pattern synthesis can be found when the scanning step is equal to the least distance between adjacent interference directions. At the start, the number of sensors is set at the number of useful signal directions. If the mainlobes towards useful signal directions are not evened enough, the set of interference directions is corrected. Keywords: radar phased array; beam pattern; interference direction; sidelobe cancellation; aperture size.

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Section: Beam Pattern Synthesismentioning

confidence: 99%

Section: Beam Pattern Synthesismentioning

confidence: 99%

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Multiple Direction Interference Suppression by Uniform Linear Phased Array Sidelobe Efficient Canceller

Romanuke

2021

ITS

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“…Other studies [17,20] investigated the multiantenna beamforming coordinated technique based on the multiple cell to improve the communication quality of users at the edge of the cell, and the results showed that the scheme significantly improved the communication quality of the users. A hybrid large-scale MIMO beam assignment scheme was proposed in a previous study [20,21,22] to overcome the deficiency that the current large-scale MIMO beam assignment only serves a single user. The scheme obtained the user spectrum resource allocation via the spatial user covariance matrix, and the results showed that the scheme significantly saved the power consumption.…”

Section: Introductionmentioning

confidence: 99%

Technique for Large-Scale Antenna Beamforming Based on Neural Network

Xie

Guo

JianZhou

2022

Wireless Communications and Mobile Computing

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The commercialization of the fifth-generation technology and the rapid development of Internet of Things technology have made mobile communication networks increasingly complex. Simultaneously, the massive terminal connections have caused serious interference between networks. Large-scale array antennas have become a hot topic of recent studies to improve the wireless transmission characteristics and spectrum resource utilization efficiency. This study was aimed at exploring using large-scale array antennas combined with neural networks in ultradense cells to improve the wireless signal transmission quality. The simulation results showed that the scheme realized not only the wireless signal transmission with a neural network but also the effective recovery of the source signal. Similarly, the application of this scheme effectively reduced the power consumption during signal transmission, the delay, and the interference.

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“…Besides, since light has much shorter wavelength than RF, its power can be compressed in a narrow beam (e.g., laser usually has millimeter-level beam radius) to reduce the path loss. The beam width in RF beamforming is proportional to the wavelength and inversely proportional to the number of antenna elements and the element separation [5]. As the element separation should be greater than half of the wavelength, it brings a limitation to the element number with a given antenna area and thus prompts the requirement of shortening the wavelength.…”

Section: Introductionmentioning

confidence: 99%

Optimization of A Mobile Optical SWIPT System With Asymmetric Spatially Separated Laser Resonator

Xiong,

Liu,

Zhou

2021

Preprint

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High-power and high-capacity simultaneous wireless information and power transfer (SWIPT) becomes more and more important with the development of Internet of Things technologies. Optical SWIPT, also known as simultaneous light information and power transfer (SLIPT), has unique advantages such as abundant spectrum resources and low propagation divergence, compared with RF technologies. However, optical SWIPT faces many challenges in beam steering and receiver positioning/tracking. Resonant beams generated by spatially separated laser resonators (SSLR) have many advantages, including high power, self-aligned mobility, and intrinsic safety. It has been proposed as the carrier of wireless charging and communication. Using resonant beams, mobile electronic devices can be remotely charged and supported with high-rate data transfer. In this paper, we propose a mobile optical SWIPT system based on asymmetric SSLR and present the system optimization procedure. We also determine the boundary of the achievable charging power and communication capacity, and discuss the trade-off between power transfer and information transfer. Numerical results show that the charging power of the optimized asymmetric system is much higher than that of the symmetric system in the previous work, and meanwhile, the channel capacity is kept almost unchanged.

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Antenna Arrays and Classical Beamforming

Cited by 11 publications

References 3 publications

Multiple Direction Interference Suppression by Uniform Linear Phased Array Sidelobe Efficient Canceller

Multiple Direction Interference Suppression by Uniform Linear Phased Array Sidelobe Efficient Canceller

Technique for Large-Scale Antenna Beamforming Based on Neural Network

Optimization of A Mobile Optical SWIPT System With Asymmetric Spatially Separated Laser Resonator

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