Dimensionality reduced antenna array for beamforming/steering.

Abstract

Targeted communication is made possible using beamforming. It is extensively employed in many disciplines involving electromagnetic waves, including arrayed ultrasonic, optical, and high-speed wireless communication. Conventional beam steering often requires the addition of separate active amplitude and phase control units after each radiating element. The high-power consumption and complexity of large-scale phased arrays can be overcome by reducing the number of active controllers, pushing beamforming into satellite communications and deep space exploration. To address this, we propose a phased array antenna design based on dimensionality-reduced cascaded angle offset phased array (DRCAO-PAA). By applying singular value decomposition (SVD) to compress the coefficient matrix of phase shifts, our method reduces the number of active controllers while maintaining beam-steering performance. Furthermore, the suggested DRCAO-PAA was sing the singular value deposition concept. For practical application the particle swarm optimization algorithm and deep neural network Transformer were adopted. Based on this theoretical framework, an experimental board was built to verify the theory. Finally, the 16/8/4 -array beam steering was demonstrated by using 4/3/2 active controllers, respectively.

AI evidence extraction

Main findings

The paper proposes a dimensionality-reduced cascaded angle offset phased array (DRCAO-PAA) using singular value decomposition to compress the phase-shift coefficient matrix, reducing the number of active controllers while maintaining beam-steering performance. An experimental board was built, and 16/8/4-element array beam steering was demonstrated using 4/3/2 active controllers, respectively.

Outcomes measured

• Beamforming/beam steering performance
• Reduction in number of active controllers in phased array antenna design

{
    "study_type": "engineering",
    "exposure": {
        "band": null,
        "source": null,
        "frequency_mhz": null,
        "sar_wkg": null,
        "duration": null
    },
    "population": null,
    "sample_size": null,
    "outcomes": [
        "Beamforming/beam steering performance",
        "Reduction in number of active controllers in phased array antenna design"
    ],
    "main_findings": "The paper proposes a dimensionality-reduced cascaded angle offset phased array (DRCAO-PAA) using singular value decomposition to compress the phase-shift coefficient matrix, reducing the number of active controllers while maintaining beam-steering performance. An experimental board was built, and 16/8/4-element array beam steering was demonstrated using 4/3/2 active controllers, respectively.",
    "effect_direction": "unclear",
    "limitations": [],
    "evidence_strength": "insufficient",
    "confidence": 0.7399999999999999911182158029987476766109466552734375,
    "peer_reviewed_likely": "yes",
    "keywords": [
        "beamforming",
        "beam steering",
        "phased array antenna",
        "dimensionality reduction",
        "singular value decomposition",
        "particle swarm optimization",
        "deep neural network",
        "Transformer",
        "active controllers"
    ],
    "suggested_hubs": []
}

Comments

Log in to comment.

No comments yet.