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Adaptive Beamforming for Multi-Function In-Band Full-Duplex Applications

IEEE wireless communications, 2021
The ability of in-band full duplex (IBFD) technology to support multiple simultaneous functions within wireless systems will enable it to be adopted into both existing networks and innovative applications that have not yet been fully realized.
K. Kolodziej   +3 more
semanticscholar   +1 more source

Robust Adaptive Beamforming Based on Covariance Matrix Reconstruction With Annular Uncertainty Set and Vector Space Projection

IEEE Antennas and Wireless Propagation Letters, 2021
The performance of adaptive beamforming will degrade dramatically in practical application due to system errors including signal direction error, array geometry error, gain, and phase errors.
Xiaopeng Yang   +5 more
semanticscholar   +1 more source

Resource Allocation for Secure Rate-Splitting Multiple Access with Adaptive Beamforming

2021 IEEE International Conference on Communications Workshops (ICC Workshops), 2021
Rate splitting multiple access (RSMA) is promising to achieve high spectral efficiency with a higher flexibility relative to non-orthogonal multiple access (NOMA) and orthogonal multiple access (OMA). In this paper, a novel RSMA-based secure transmission
Tenghao Cai   +5 more
semanticscholar   +1 more source

Comparative Study of Adaptive Beamforming Algorithms for Smart antenna Applications

International Conference on Communications, Signal Processing, and their Applications, 2021
Beamforming is signal processing techniques used to shape the antenna array pattern according to prescribed criteria. In this paper, a comparative study is presented for various adaptive antenna beamforming algorithms. Least Mean Square (LMS), Normalized
Mohammad Abualhayja'a, M. Hussein
semanticscholar   +1 more source

Maximum Entropy-Based Interference-Plus-Noise Covariance Matrix Reconstruction for Robust Adaptive Beamforming

IEEE Signal Processing Letters, 2020
To ensure signal receiving quality, robust adaptive beamforming (RAB) is of vital importance in modern communications. In this letter, we propose a new low-complexity RAB approach based on interference-plus-noise covariance matrix (IPNC) reconstruction ...
S. Mohammadzadeh   +3 more
semanticscholar   +1 more source

Fast and Robust Variable-Step-Size LMS Algorithm for Adaptive Beamforming

IEEE Antennas and Wireless Propagation Letters, 2020
Conventional least-mean-square (LMS) algorithm is one of the most popular algorithms, which is widely used for adaptive beamforming. But the performance of the LMS algorithm degrades significantly because the constant step size is not suitable for ...
Babur Jalal   +4 more
semanticscholar   +1 more source

Robust adaptive beamforming

IEEE Transactions on Acoustics, Speech, and Signal Processing, 1987
Adaptive beamforming algorithms can be extremely sensitive to slight errors in array characteristics. Errors which are uncorrelated from sensor to sensor pass through the beamformer like uncorrelated or spatially white noise. Hence, gain against white noise is a measure of robustness.
M.M. Owen, Robert M. Zeskind, Henry Cox
openaire   +2 more sources

Systolic Adaptive Beamforming [PDF]

open access: possible, 1993
In this chapter we address the important subject of adaptive beamforming or “null-steering” as applied to an adaptive antenna array for the purposes of noise cancellation. The chapter is not intended as a general review or tutorial discussion of the subject. It is concerned solely with the application of systolic arrays to adaptive beamforming networks
T. J. Shepherd, J. G. McWhirter
openaire   +1 more source

Joint Adaptive Beamforming Techniques for Distributed Array Radars in Multiple Mainlobe and Sidelobe Jammings

IEEE Antennas and Wireless Propagation Letters, 2020
In modern electronic warfare, array radar systems apply adaptive beamforming techniques to form nulls in the beams toward the jamming angles for multiple jamming cancellation.
Xinzhu Chen   +4 more
semanticscholar   +1 more source

Adaptive subarrays beamforming

2013 MTS/IEEE OCEANS - Bergen, 2013
Rank reduction prior to adaptive beamforming is required for large arrays in order to reduce the required number of samples. It is often processed by a conventional beamforming applied on a number of subarrays partitioning the whole array. The subarrays beams are then adaptively recombined by a second stage of beamforming.
Marie Gehant, Gilles Gaonach
openaire   +2 more sources

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