Efficient Beamforming Technique Based on Sparse MIMO Array and Spatial Filter Bank

Nguyen, Dong H.; Zomorrodi, Mohammad; Karmakar, Nemai Chandra; Ho, Trong Khoa

doi:10.1109/lawp.2020.2991993

Cited by 9 publications

(2 citation statements)

References 29 publications

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“…Specifically, based on steering vector estimation, a robust beamforming algorithm is proposed, making the proposed algorithm unnecessary for other prior information except for the predefined observation sectors. In literature [17], an efficient beamforming method based on sparse multi-input multi-output array and spatial filter bank is proposed.…”

Section: Introductionmentioning

confidence: 99%

A Novel Adaptive Beamforming Scheme for Array Signal Data Processing

Shi

Yan

Hou

et al. 2023

Preprint

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When the desired signal data exists in the array received data or the steering vector has a mismatch problem, the current traditional adaptive beamformers will suffer from the effect of the desired signal cancellation phenomenon, resulting in a sharp decline in performance. To address the occurrence of desired signal cancellation, an improved matrix projection-based efficient beamforming method is proposed. Firstly, based on spatial partitioning technology, a significant projection matrix for interference-plus-noise space (INS) is constructed. Secondly, using the constructed key projection matrix, the sample data covariance matrix is projected into the INS to achieve the goal of suppressing the desired signal data information. Finally, the weight data vector is calculated by Capon beamformer. The proposed algorithm does not require iterative search for the optimal solution, which has the advantage of a small amount of calculation. Simulation experiments have verified that the proposed method has significant advantages in suppressing the desired data signals. Especially when the desired data signal has a large power, the signal-to-interference-plus-noise ratio (SINR) of the proposed algorithm is better than that of the compared algorithms under the conditions of random directionality errors or local scattering errors between the desired signal and interference.

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Section: Introductionmentioning

confidence: 99%

A Novel Adaptive Beamforming Scheme for Array Signal Data Processing

Shi

Yan

Hou

et al. 2023

Preprint

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“…The essence of beamforming in modern array antenna systems has gained remarkable recognition and continues to constitute a field of intense research (Bailleul, 2016). Among them, one may discern the design of advanced 5G communication systems (Nadeem et al , 2019), the reconfigurable suppression of undesired side lobes (Sharma and Mathur, 2018) and minimisation of mutual coupling (Kim and Nam, 2019) in multiple-input multiple-output (MIMO) antennas (Moghaddam and Alibeigi, 2016; Lee et al , 2018; Buzzi and D’Andrea, 2018; Nguyen et al , 2020) as well as the development of energy-efficient wireless power transfer devices (Khattak and Akhtar, 2016; Lim et al , 2017; Dong et al , 2020). Not to mention the multi-mode pattern photonics-oriented structures (Nagayama et al , 2018; Numan et al , 2018; Johannsen and Hoeher, 2020; Emara et al , 2020) or the wideband, yet highly focusing, components for unmanned air vehicles (UAVs) (Jovanović et al , 2016; Zhou, 2019; Li et al , 2019).…”

Section: Introductionmentioning

confidence: 99%

Enhanced beamforming techniques for cylindrical-substrate microstrip array antennas

Exadaktylos

Karatzidis

Zygiridis

et al. 2022

COMPEL

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Purpose A class of robust and efficient beamforming methods is developed in this paper for the optimised design of realistic microstrip antennas on arbitrarily curved substrates. More specifically, this paper aims to focus on the formulation of an effective and computationally light beamforming algorithm and its implementation on a novel realistic cylindrical-substrate microstrip array antenna with significantly decreased size, wideband operation and enhanced radiation characteristics. Design/methodology/approach The proposed multi-parametric schemes introduce an efficient null-steering concept, which drastically annihilates the undesired beamformer waveform artefacts, while retaining the real output signal undistorted. In particular, the key objective is the accurate calculation of the appropriate complex feeding weights, required to set nulls along the propagation directions of the unwanted signals and a maximum towards the propagation direction of the desired incoming signal. The featured technique, combined with a modified finite element method, is applied to the design of a new family of cylindrical-substrate microstrip array antennas. Findings Numerical results, mainly concerning customisable three-dimensional radiation patterns and attributes, certify the merits of the algorithm and its limited system demands. The introduced beamforming algorithms are applied to a variety of different inputs (desired radiation patterns), which indicate that the designed cylindrical-substrate antenna overwhelms existing designs in terms of computational cost for the beamforming algorithm, while retaining acceptable values for radiation characteristics, such as gain, directivity and side-lobe suppression. In this manner, the effectiveness of the prior methodology and the benefits of this newly shaped array antenna are comprehensively revealed and substantiated. Originality/value Rigorous beamforming techniques in conjunction with a class of contemporary array antennas are developed for potential use in high-end communication systems, such as 5G configurations. The proposed cylindrical-shaped structures are systematically designed, with an emphasis on space efficiency and wideband radiation effectiveness to offer fully adjustable setups. To this aim, the cylindrical-substrate microstrip antenna, because of its inherent azimuthal symmetry and confined overall dimensions, provides reliable operation and promising performance.

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Multicast Spatial Filter Beamforming with Resource Allocation Using Joint Multi-objective Optimization Approaches in Wireless Powered Communication Networks

Thomas

Malarvizhi

2023

Wireless Pers Commun

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Efficient Beamforming Technique Based on Sparse MIMO Array and Spatial Filter Bank

Cited by 9 publications

References 29 publications

A Novel Adaptive Beamforming Scheme for Array Signal Data Processing

A Novel Adaptive Beamforming Scheme for Array Signal Data Processing

Enhanced beamforming techniques for cylindrical-substrate microstrip array antennas

Multicast Spatial Filter Beamforming with Resource Allocation Using Joint Multi-objective Optimization Approaches in Wireless Powered Communication Networks

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