Multi-Frequency Planar Near-Field Scanning by Means of Singular-Value Decomposition (SVD) Optimization

Capozzoli, Amedeo; Curcio, Claudio; Liseno, Angelo

doi:10.1109/map.2011.6157759

Cited by 23 publications

(33 citation statements)

References 26 publications

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“…For such a problem, preliminary results have been presented in [30]. Here, we illustrate experimental results aimed at showing how the approach is capable to correctly reconstruct the intensity distribution of random radiators with a number of measurements which is significantly smaller than those required by more "standard" techniques, as it has been already proven in the CW, multi-frequency or narrow-band cases [21,22,30]. In this paper, random incoherent sources have been produced by properly slotting one of the walls of a reverberation chamber with one or more narrow apertures.…”

Section: Introductionmentioning

confidence: 94%

“…According to the theory of the SVD approach, to reliably and accurately retrieve the subspace components of the source intensity, the matrix Z should have the best possible conditioning [19,21,22]. On the other hand, Z is not univocally defined, since it depends on the choice of both M , the number of sampling points, and the sample distribution.…”

Section: Optimal Sample Number and Locationsmentioning

confidence: 99%

“…In this framework, the Authors have recently proposed in [21,22] a particularly efficient field sampling strategy.…”

Section: Introductionmentioning

confidence: 99%

“…The presented technique is an extension of that introduced in [21,22] and successfully adopted to experimentally characterize deterministic (CW-multifrequency) radiators and fields [19]. Under the assumption that the source is wide sense stationary [28] and quasimonochromatic [29], its second order statistics can be reconstructed by time-domain NF field measurements aimed at forming the mutual coherence of the measured field itself [30].…”

Section: Introductionmentioning

confidence: 99%

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Experimental Field Reconstruction of Incoherent Sources

Capozzoli¹,

Curcio²,

Liseno³

2013

PIER B

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Abstract-The problem of characterizing random sources from near-field measurements and of devising the random field sampling procedure is tackled by a stochastic approach. The presented technique is an extension of that introduced in [22] and successfully adopted to experimentally characterize deterministic (CW and multi-frequency) radiators and fields. Under the assumption that the source is wide sense stationary, quasi-monochromatic and incoherent, its intensity is reconstructed by time-domain field measurements aimed at extracting information from the mutual coherence of the acquired near-field. The linear relation between the field coherence and the source intensity is inverted by using the Singular Value Decomposition (SVD) approach, properly representing the source intensity distribution by exploiting the a priori information (e.g., its size and shape) on the radiator. The sampling of the radiated random field is devised by a singular value optimization procedure of the relevant finite dimensional linear operator. Experimental results using a slotted reverberation chamber as incoherent source assess the performance of the approach.

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Section: Introductionmentioning

confidence: 94%

Section: Optimal Sample Number and Locationsmentioning

confidence: 99%

“…In this framework, the Authors have recently proposed in [21,22] a particularly efficient field sampling strategy.…”

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Experimental Field Reconstruction of Incoherent Sources

Capozzoli¹,

Curcio²,

Liseno³

2013

PIER B

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“…Regarding the former, it has been extensively shown that optimised sampling techniques [4][5][6][7] provide a dramatic reduction of the number of measurement points and of the scanning path length with respect to more conventional samplings, without impairing the reconstruction of the far-field pattern (FFP). Regarding the latter, the measurement time depends on different features, as the scanning hardware and geometry (planar, cylindrical or spherical scanning), the scanning controller and the measurement instrumentation (e.g.…”

Section: Introductionmentioning

confidence: 99%

Twice optimised near‐field scanning system for antenna characterisation

Capozzoli

Celentano

Curcio

et al. 2019

IET Microwaves, Antennas & Propagation

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The near‐field (NF) acquisition time depends on the sampling strategy and on the measurement hardware. Optimised sampling based on singular value optimisation dramatically reduces the number of measurement points and the scanning path length compared to conventional samplings, without impairing the far‐field reconstruction. Furthermore, an optimised control approach, tracking a sufficiently smooth trajectory allows better performance in terms of velocity and precision, significantly reducing the scanning time. We show that the combined use of an optimised sampling and an optimised controller drastically reduces the measurement time. The sampling strategy provides a raster grid of optimally selected rows hosting samples optimally arranged according to a row‐wise non‐uniform distribution. The optimised control drives the NF scanner and the vector network analyser to acquire the data along each row by a continuous probe movement with a variable velocity, accelerating and decelerating between two consecutive sampling points. The sparsity of the NF locations enables a significant increase in the average speed between two consecutive points. The controller is realised with a proportional‐integral‐derivative law with a compensation signal and a filter downstream. The controller does not demand complex hardware and can be realised in an extremely simple, cheap and off‐the‐shelf solution.

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An Eigenmode Correlation‐Based Algorithm for Approaching Antenna Optimal Currents With Multiple Feeds

Zhang

Wang

et al. 2020

Radio Science

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A feeding algorithm has been proposed for the excitation of the optimal electric current of Rayleigh quotient form optimization problems. Modal weighting coefficients of the corresponding generalized eigenvalue problem are calculated to form the correlation information between the desired and all other unwanted modes. Based on this information, multiple feeds are arranged to approximate the desired current distributions. The eigencurrent distribution is also utilized for some shape modification to the radiator for a possible feed number reduction. Three canonical optimization problems for electrically small antennas, minimum Q, maximum G/Q, and maximum G are studied and discussed. Several numerical examples with a certain arbitrary shape and electrical size are given. With the proposed feeding algorithm, calculated and simulated current distributions and performance indices are close to the theoretical optimum solution. Finally, a practical feeding network design for a classic characteristic mode problem is shown as a validation.

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Multi-Frequency Planar Near-Field Scanning by Means of Singular-Value Decomposition (SVD) Optimization

Cited by 23 publications

References 26 publications

Experimental Field Reconstruction of Incoherent Sources

Experimental Field Reconstruction of Incoherent Sources

Twice optimised near‐field scanning system for antenna characterisation

An Eigenmode Correlation‐Based Algorithm for Approaching Antenna Optimal Currents With Multiple Feeds

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