Optimum number of faces of a volume-scanning active array radar

Waters, William M.; Patel, Dhruv; Trunk, G. V.

doi:10.1109/7.705924

Cited by 13 publications

(5 citation statements)

References 5 publications

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“…After coherently combining the product of measured S 21 values and the complex taper weights applied across all the spatial samples of the synthetic aperture, an inverse Fourier transform was used to generate each directional PDP by transforming the frequency domain data to the temporal domain. Note that beam-steering directions were chosen systematically based on an algorithm in [52] such that all the beams overlap at the 3-dB beamwidth. This rigorous approach accounts for the fact that the width of a scanned beam increases in proportion to the product of the cosines of the azimuth and elevation angles.…”

Section: Data Preparation and Resulting Datamentioning

confidence: 99%

A Machine-Learning Approach for the Exemplar Extraction of mmWave Industrial Wireless Channels

Kashef

Vouras

Jones

et al. 2022

IEEE Open J. Instrum. Meas.

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Industrial wireless channel modeling is essential for the development of industrial internet of things (IIoT) wireless systems. Moreover, millimeter-wave (mmWave) wireless bands have a high potential to be used for IIoT applications because of their high data-rates and the better applicability of having multiple antennas. As a result, we introduce an exemplar extraction approach to be applied on mmWave wireless channel measurements. A machine learning (ML) clustering scheme is used to divide the measured power-angle-delay-profiles into a number of groups with respect to the angle of arrival. Each of the groups is represented by a power-delay-profile (PDP) exemplar to provide a tractable way for testing and evaluation of mmWave IIoT wireless systems through compactly representing different groups based on their spatial characteristics. Hence, testing of wireless communications equipment can be performed over the exemplars to assess their spatial performance with a significantly reduced amount of data, allowing the development of lab-based device evaluation in a realistic, yet repeatable, test environment. Governing equations are provided in sufficient detail for users to implement the technique in their own labs.

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Section: Data Preparation and Resulting Datamentioning

confidence: 99%

A Machine-Learning Approach for the Exemplar Extraction of mmWave Industrial Wireless Channels

Kashef

Vouras

Jones

et al. 2022

IEEE Open J. Instrum. Meas.

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show abstract

“…In such cases when solving (6) is infeasible, the solution of (9) has , as explained in Section III-A. The values of and obtained by solving (8) and (9) are not always the same as those found using the equalization-based approach. In fact, in many cases, the minimax-based approach results in lower (i.e., better) values of , as will be elaborated below.…”

Section: B the Minimax-based Approachmentioning

confidence: 88%

“…For the pyramidal array, the problem is defined as (8) and for the more complicated case of the pyramidal frustum (9) Minimax optimization problems are typically solved numerically, e.g., [10]. Unlike the equalization-based approach, a feasible solution of (9) always exists for any valid coverage range.…”

Section: B the Minimax-based Approachmentioning

confidence: 99%

“…Corey [7] proposed a graphical technique to determine the face tilt of a single array for a given scan requirement. Their work and the subsequent results, e.g., [8] and [3], were based on equalizing the maximum off-axis scan angles, referred to below as the equalization-based approach. However, the face elevation of pyramidal frusta, given a general coverage requirement, has not been addressed before.…”

Section: Introductionmentioning

confidence: 99%

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Geometric Design and Comparison of Multifaceted Antenna Arrays for Hemispherical Coverage

Khalifa

Vaughan²

2009

IEEE Trans. Antennas Propagat.

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We address the optimization of the geometric design of two classes of multifaceted antenna arrays, namely, pyramids and pyramidal frusta. The optimization involves choosing the face elevation and the number of arrays. The optimal face elevation minimizes the maximum scan angle encountered by the arrays, given a general hemispherical coverage requirement. Firstly, an approach is presented to compute the face elevation of the pyramidal frustum, based on equalizing the maximum scan angles. It is demonstrated that the equalization-based approach is not always optimal. Secondly, a new optimal approach based on minimax optimization is presented and used for both pyramids and pyramidal frusta, along with a comparison of the two approaches. Finally, the choice of the number of arrays is addressed using different cost functions including scan angles, scan losses, antenna dimensions, geometric directivity, and total number of antenna elements. Quantitative guidelines on how to choose among planar, pyramidal, and pyramidal frustum antenna systems are outlined.Index Terms-Antenna arrays, hemispherical scan coverage, maximum scan angle, pyramid, pyramidal frustum.

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“…Corey [9] proposed a graphical technique to determine the optimal face tilt of a single array for a given scan requirement. The approaches in [8] and [9] and subsequent results, e.g., [10] and [4], are based on equalizing the maximum off-axis scan angles of all of the arrays, referred to below as the equalization-based approach. The optimal face elevation of pyramidal frusta given a general hemispherical coverage requirement has not been addressed.…”

Section: Introductionmentioning

confidence: 99%

Optimal Configuration of Multi-Faceted Phased Arrays for Wide Angle Coverage

Khalifa

Vaughan

2007

2007 IEEE 65th Vehicular Technology Conference - VTC2007-Spring

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As more users share the radio spectrum, communications systems become limited by interference. The situation can be improved by using smart antennas, including beam-scanning systems, for increased gain and interference suppression. The design of beam-scanning arrays typically involves a tradeoff between the coverage (the set of directions over which beams can be directed) and the scan angle. Wide coverage, which is typical for mobile communications, requires large scan angles from single arrays and this results in scan loss and greater crosspolarization which degrade the SNIR. Large coverage angles with low scan loss can only be realized with multi-faceted or conformal arrays. The multi-faceted arrays are simpler to manufacture. For hemispherical coverage, the basic array configurations are the pyramid and the pyramidal frustum. The design for the optimal geometry (face elevation angle) of pyramidal frustum arrays is addressed using a novel minimax-based approach and the methodology for the choice of the number of faces is presented. The coverage is the partial (rotationally symmetric) hemisphere. Applications for these wide coverage array systems are widespread, ranging from fixed and mobile satellite terminals, landmobile vehicular antennas, basestations for indoor and outdoor networks, to radar surveillance and radio astronomy.Index Terms-Smart antennas, antenna arrays, beam scanning, multibeam antennas, hemispherical coverage, scan loss, pyramid, pyramidal frustum.

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Optimum number of faces of a volume-scanning active array radar

Cited by 13 publications

References 5 publications

A Machine-Learning Approach for the Exemplar Extraction of mmWave Industrial Wireless Channels

A Machine-Learning Approach for the Exemplar Extraction of mmWave Industrial Wireless Channels

Geometric Design and Comparison of Multifaceted Antenna Arrays for Hemispherical Coverage

Optimal Configuration of Multi-Faceted Phased Arrays for Wide Angle Coverage

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