Linear Array Antenna Diagnostics Through a MUSIC Algorithm

Dell’Aversano, Angela; Caner, Alp; Cuccaro, Antonio; Solimene, Raffaele

doi:10.1109/access.2019.2956680

Cited by 20 publications

(2 citation statements)

References 20 publications

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“…Since field data are collected over a finite discrete set of points belonging to OD, instead of the operator in (2), what one should actually consider is the matrix operator…”

Section: B Matrix Methods (Mm)mentioning

confidence: 99%

Non-Uniform Warping Sampling for Data Reduction in Planar Array Diagnostics

et al. 2022

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The problem of detecting defective turned-off elements in antenna arrays from near-field measurements is addressed. In particular, the focus here is to reduce the number of measurements in order to positively affect the acquisition time. Such an issue is achieved by adopting the recently developed warping sampling method. Two commonly antenna diagnostics methods, i.e, the Back Transformation Method (BTM) and the Matrix Method (MM), are considered in view of this new sampling strategy and compared to the usual half-wavelength sampling. In particular, in order to identify the fault locations, outcomes returned by BTM and MM undergo a detection step based on a cell-averaging CFAR (CA)-CFAR technique borrowed from the radar literature. It is shown that the warping sampling method provides performance close to the uniform half-wavelength one with a reduced number of data. Numerical simulations are carried out in order to verify the results with different fault layouts and tapered currents. INDEX TERMS Antenna measurements, Sampling methods, Array diagnostics, Inverse imaging, Nonuniform sampling

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“…Since field data are collected over a finite discrete set of points belonging to OD, instead of the operator in (2), what one should actually consider is the matrix operator…”

Section: B Matrix Methods (Mm)mentioning

confidence: 99%

Non-Uniform Warping Sampling for Data Reduction in Planar Array Diagnostics

et al. 2022

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“…The reconstruction of a current from its radiated field is a classical problem in electromagnetics [1], which besides being theoretically intriguing, is relevant in a number of applications. Just to quote a few of them, we mention antenna synthesis [2], [3] and/or diagnostics [4] - [6], near-field to far-field transformation [7], [8] or near-zone RCS estimation [9], [10]. Inverse source problems are also strictly linked to linearised inverse scattering problems, where similar integral operators have to be dealt with [11].…”

Section: Introductionmentioning

confidence: 99%

Near-Field Resolution in Planar Source Reconstructions

Maisto¹,

Pierri²,

Solimene³

2020

Preprint

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<div>This paper deals with the classical question of estimating the achievable resolution in terms of the configuration parameters in inverse source problems. In particular, the study focuses on the case of a planar surface magnetic current which is to be reconstructed from near-field observed over a bounded rectangular aperture parallel to the source domain. Here, the plan is to work out a resolution estimation that precisely captures the spatially varying behaviour entailed by the near-field and aspect-limited configuration. To this end, the pertinent radiation operator is inverted by an adjoint inversion scheme (a backpropagation- like method) and the corresponding point-spread function is analytically estimated. Numerical examples show that the derived resolution estimation clearly points out the role of the geometrical parameters of the configuration and it is more accurate than other literature results.</div>

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Model calibration for compressive sensing based linear antenna array fault diagnosis

Chen

Yang

et al. 2022

Journal of Electromagnetic Waves and Applications

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Linear Array Antenna Diagnostics Through a MUSIC Algorithm

Cited by 20 publications

References 20 publications

Non-Uniform Warping Sampling for Data Reduction in Planar Array Diagnostics

Non-Uniform Warping Sampling for Data Reduction in Planar Array Diagnostics

Near-Field Resolution in Planar Source Reconstructions

Model calibration for compressive sensing based linear antenna array fault diagnosis

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