A new interpolation method for reconstructing non-uniformly spaced samples into uniform ones in planar near-field antenna measurements

Dehghanian, V.; Okhovvat, M.; Hakkak, Mohammad

doi:10.1109/aps.2003.1219825

Cited by 5 publications

(4 citation statements)

References 5 publications

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“…The most accurate interpolation algorithm was first derived by Yen [8]. Although Yen's interpolation algorithm is best in theory, practically there are severe difficulties in computing the interpolated values numerically such as the very high computer time and the ill condition phenomenon of Q 2 × Q 2 matrix (Q 2 is the number of samples) especially for cases with high quantity of samples [9]. Efforts have been made in order to decrease the time complexity of Yen's interpolation algorithm [9]- [12].…”

Section: Introductionmentioning

confidence: 99%

Optimizing a new fractal slot antenna by use of interpolation technique

Eskandari

Azarmanesh

2008

2008 International Symposium on Telecommunications

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A novel fractal slot antenna is optimized using an interpolation technique. The antenna is simulated by the Ansoft HFSS based on the finite element method. A technique using interpolation method is presented to optimize the bandwidth of a new fractal slot antenna. Simulation results show that the Spline and Linear methods of interpolation are a good agreement between the results obtained by the proposed method and the simulated software. The proposed method introduces the accuracy as well as flexibility and simplicity. Measured results indicate that a 2:1 VSWR bandwidth of 2.42 GHz is achieved at operating frequencies from 2.33 to 4.75 GHz. The good radiation characteristics of the constructed prototype antenna are also shown in this article.

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Section: Introductionmentioning

confidence: 99%

Optimizing a new fractal slot antenna by use of interpolation technique

Eskandari

Azarmanesh

2008

2008 International Symposium on Telecommunications

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“…Using the fact that the measured field is a band limited function [18], the irregular near-field is interpolated to reconstruct a regular near-field grid, then, the data are processed using classical 2-D DFT algorithm to determine the far-field radiation pattern. This solution based on interpolating the near-field has been presented by many authors and exists in a variety of coordinate systems [19][20][21][22]. Wittmann in [23] have proposed an approach to deal with these irregularities by combining unequally spaced DFT [24], interpolation, and the iterative conjugate gradient algorithm.…”

Section: Introductionmentioning

confidence: 99%

Matrix Method for Antenna Plane Wave Spectrum Calculation Using Irregularly Distributed Near-Field Data : Application to Far-Field Assessment

Farouq¹,

Serhir²,

Picard³

2015

PIER M

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International audience—The matrix method for the calculation of antenna far-field using irregularly distributed near-field measurement data is presented. The matrix method is based on the determination of the plane wave expansion (PWE) coefficients from the irregular near-field samples using a matrix form that connects the radiated field with the corresponding plane wave spectrum. The plane wave spectrum is used to determine the far-field of the antenna under test (AUT). The matrix method has been implemented, and its potentialities are presented. The validations using analytical radiating model (dipoles array) and experimental measurement (X band standard gain horn antenna) results have demonstrated the efficiency and stability of the proposed method

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“…But the most accurate interpolation algorithm was first derived by Yen [9]. Although Yen's interpolation algorithm is best in theory, practically there are severe difficulties in computing the interpolated values numerically such as the very high computer time and the ill condition phenomenon of Q 2 × Q 2 matrix (Q 2 is the number of samples) especially for cases with high quantity of samples [10]. Efforts have been made in order to decrease the time complexity of Yen's interpolation algorithm [10][11][12][13].…”

Section: Introductionmentioning

confidence: 99%

“…Although Yen's interpolation algorithm is best in theory, practically there are severe difficulties in computing the interpolated values numerically such as the very high computer time and the ill condition phenomenon of Q 2 × Q 2 matrix (Q 2 is the number of samples) especially for cases with high quantity of samples [10]. Efforts have been made in order to decrease the time complexity of Yen's interpolation algorithm [10][11][12][13]. In this paper we introduce an optimal fast and simple interpolation technique for the reconstruction of regularly spaced samples from the irregularly distributed ones in planar near-field antenna measurements.…”

Section: Introductionmentioning

confidence: 99%

A New Interpolation Technique for the Reconstruction of Uniformly Spaced Samples From Non-Uniformly Spaced Ones in Plane-Rectangular Near-Field Antenna Measurements

Dehghanian¹,

Okhovvat²,

Hakkak³

2007

PIER

Self Cite

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Abstract-A novel fast and accurate interpolation technique for recovering the uniformly distributed samples from the irregularly spaced samples, collected non-uniformly due to the probe position error in planar near-field antenna measurements, is presented. The technique employs Yen's interpolator and tries to make it as practical as possible for the use in near-field antenna measurements. A comprehensive simulation capability is developed and through out the simulations the speed and precision of this accurate and timely efficient interpolation technique is compared with some other techniques which are also based on Yen's interpolators. The results well demonstrate the advantages of our technique we termed "The Cross-Rail Technique".

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A new interpolation method for reconstructing non-uniformly spaced samples into uniform ones in planar near-field antenna measurements

Cited by 5 publications

References 5 publications

Optimizing a new fractal slot antenna by use of interpolation technique

Optimizing a new fractal slot antenna by use of interpolation technique

Matrix Method for Antenna Plane Wave Spectrum Calculation Using Irregularly Distributed Near-Field Data : Application to Far-Field Assessment

A New Interpolation Technique for the Reconstruction of Uniformly Spaced Samples From Non-Uniformly Spaced Ones in Plane-Rectangular Near-Field Antenna Measurements

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