Robust LCMV Beamformer for Direction of Arrival Mismatch Without Beam Broadening

Khan, Muhammad Zafar Ullah; Malik, Arshad Nawaz; Zaman, Fawad; Qureshi, Ijaz Mansoor

doi:10.1007/s11277-018-6006-9

Cited by 9 publications

(4 citation statements)

References 19 publications

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“…The weights in the Beamforming algorithm are updated as per the movement of the user hence beam is steered in that very direction only thus reducing the BER. [27] presents DOA estimation while employing MUSIC with Hybrid Beamforming architecture. Also, the authors in [28] present an e cient approach in adaptive beamforming to minimize the signal look direction inaccuracy problem without widening the main beam.…”

Section: Related Workmentioning

confidence: 99%

Performance Analysis and Direction of Arrival(DOA) Estimation of various Beamforming schemes for Quality Signal Reception in 5G Wireless Communication Systems

Amin

Kumar

Dubey

2023

Preprint

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Fifth Generation (5G) wireless communication is an ecosystem of technological advancements involving a multitude of domains. These domains include Augmented Reality (AR), Internet of Things (IoT), Device-to-Device (D2D) Communication, Machine-to-Machine (M2M) Communication, Health IoT (H-IoT), Financial Technology (FinTech) etc. A multi-gigabit network architecture capable of offering data rates of the order of Gigabits per second (Gbps) is expected due to the enormous increase in the number of connected devices. 5G wireless communication systems are enough to accommodate the unavoidable explosion in user data traffic and area-wise connection densities. New and advanced signal processing techniques are used at both the transmitter and receiver sides to meet the growing data needs of the end-users without any outage. These techniques include precoding, zero forcing, Diversity, Beamforming, Relaying, Filtering, Combining, etc. In this paper, we studied and verified different beamforming techniques like Minimum Variance Distortionless Response (MVDR) Beamformer, Beamscan or Beam steering technique Multiple Signal Classification (MUSIC) algorithm, and Linearly Constrained Minimum Variance (LCMV) Beamformer. The diversity order of the antenna elements has also been taken care of and the Direction of Arrival (DOA) estimation of the incoming signals at the receiver’s end is carried out. Also, simulations are carried out to determine DOA estimation in presence of positional errors and multiple closely placed signal sources for the above-mentioned algorithms. While carrying out the simulation, we considered the two spatial geometries of the phased antenna array system viz-a-viz Uniform Linear Array (ULA) and Uniform Rectangular Array (URA). We also calculated the Bit Error Rate (BER) of the modulation schemes employed and visualized the effect of beamforming on BER at the receiver’s end.

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Section: Related Workmentioning

confidence: 99%

Performance Analysis and Direction of Arrival(DOA) Estimation of various Beamforming schemes for Quality Signal Reception in 5G Wireless Communication Systems

Amin

Kumar

Dubey

2023

Preprint

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“…LCMV beamformer [15] is an adaptive beamforming method that minimizes the output power of Y (k) meanwhile satisfying one or more linear equality constraints. Thus, the optimal excitation weight vector w can be obtained by solving the equation:…”

Section: Lcmv Beamformermentioning

confidence: 99%

“…The directions mentioned above can be calculated by DOA estimation algorithms [13,14]. Beamforming techniques are applied in numerous areas such as radar, sonar, modern communications, and medical imaging [15]. In recent years, more and more meta-heuristic algorithms have been utilized and gradually developed into novel techniques suitable for the beamforming of antenna arrays [16][17][18].…”

Section: Introductionmentioning

confidence: 99%

Improved Binary Particle Swarm Optimization and Its Application to Beamforming of Planar Antenna Arrays

Liu¹,

Cao²,

Feng³

et al. 2021

PIER C

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Beamforming can steer the mainlobe of the beam pattern towards the desired signal and set several nulls in the directions of interference signals by adjusting the excitation weights of array elements. These days, a range of meta-heuristic algorithms have been utilized for the beamforming of antenna arrays. However, most of the methods are applied to linear arrays and rarely to planar arrays. In this paper, a novel variant of binary particle swarm optimization (BPSO) is proposed at first, where the global search ability and local optimization ability are both taken into account. Then, the fitness function including the term of peak sidelobe level (PSLL) is constructed, and the improved BPSO is applied to the beamforming of uniform planar array (UPA). Finally, simulation results demonstrate that by setting the parameters reasonably, the proposed algorithm is not only able to suppress PSLL effectively, but also able to form deeper nulls than that of linearly constrained minimum variance (LCMV).

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“…Linear [4,5] and circular [6,7] structures are used for smart antennas. Linear antenna array produces the narrowest beamwidth and higher dircetivity, but the shortcoming of this array is that it cannot scan over 360 • azimuth angle, and the dimension of linear antenna array becomes large when a large number of antenna elements are incorporated in this array.…”

Section: Introductionmentioning

confidence: 99%

Variable Diagonal Loading Based Robust Concentric Hexagonal Antenna Array With Low Side Lobe Level Using Tapering Windows

Ali¹,

Hossain²,

Reza³

2020

PIER C

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In this paper, the performance of a concentric hexagonal antenna array (CHAA) is investigated with the exploitation of a robust variable diagonal loading (VDL) technique in the presence of direction of arrival (DOA) mismatch. The performance of minimum variance distortionless response (MVDR) based CHAA is compared with the performance of existing MVDR based concentric circular antenna arrays (CCAAs), and it is found that the proposed MVDR based CHAA provides 25.54% narrow half-power beamwidth (HPBW) and lower side lobe level than the existing MVDR based CCAA. When DOA mismatch occurs between main beam steering direction and actual signal-of-interest (SOI) direction, the performance of MVDR based CHAA is deteriorated. In the case of DOA mismatch, to ameliorate the performance of CHAA, this paper proposes VDL technique for the CHAA processor and compares the performance of the proposed robust CHAA with the existing robust CHAAs. The proposed VDL based robust CHAA delivers 88.37% and 78.56% higher output power for 2 • DOA mismatch than existing fixed diagonal loading (FDL) and optimal diagonal loading (ODL) based CHAAs, respectively. Several tapering window functions are proposed to reduce the side lobe level of CHAA. Performance of the proposed beamformer is analyzed utilizing MATLAB environment in various scenarios.

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Robust LCMV Beamformer for Direction of Arrival Mismatch Without Beam Broadening

Cited by 9 publications

References 19 publications

Performance Analysis and Direction of Arrival(DOA) Estimation of various Beamforming schemes for Quality Signal Reception in 5G Wireless Communication Systems

Performance Analysis and Direction of Arrival(DOA) Estimation of various Beamforming schemes for Quality Signal Reception in 5G Wireless Communication Systems

Improved Binary Particle Swarm Optimization and Its Application to Beamforming of Planar Antenna Arrays

Variable Diagonal Loading Based Robust Concentric Hexagonal Antenna Array With Low Side Lobe Level Using Tapering Windows

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