Comparison of interpolation algorithms to transform polar grid to rectangular grid in plane polar near field antenna test range
Abstract This paper addresses the implementation of various interpolation algorithms to transform the measured near field (NF) polar grid data into rectangular grid data in plane-polar near field antenna test range (PPNF-ATR). Such a transformation is required so that the Fast Fourier Transform (FFT...
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| Autor*in: |
Kumar, Rakesh [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2022 |
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© The Author(s) under exclusive licence to The Society for Reliability Engineering, Quality and Operations Management (SREQOM), India and The Division of Operation and Maintenance, Lulea University of Technology, Sweden 2022. Springer Nature or its licensor holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. |
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| Übergeordnetes Werk: |
Enthalten in: International Journal of Systems Assurance Engineering and Management - Springer-Verlag, 2010, 14(2022), Suppl 2 vom: 01. Nov., Seite 683-689 |
|---|---|
| Übergeordnetes Werk: |
volume:14 ; year:2022 ; number:Suppl 2 ; day:01 ; month:11 ; pages:683-689 |
| Links: |
|---|
| DOI / URN: |
10.1007/s13198-022-01787-y |
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| 520 | |a Abstract This paper addresses the implementation of various interpolation algorithms to transform the measured near field (NF) polar grid data into rectangular grid data in plane-polar near field antenna test range (PPNF-ATR). Such a transformation is required so that the Fast Fourier Transform (FFT) algorithm can be utilized to extract the hologram and to compute the far-field performance. Conventionally, the Optimal Sampling Interpolation (OSI) algorithm is used for such a transformation. In this paper, four interpolation algorithms i.e., Barycentric, Nearest Neighbor, Bivariate Lagrange and Cubic Spline interpolations, are studied, implemented and applied on the measured NF data in polar grid. The X-band microstrip array antenna having 0.6 m × 0.6 m dimensions has been measured in the PPNF test range, installed at SAC, ISRO, Ahmedabad. The various interpolation algorithms have been applied to the measured NF data with different sampling points, followed by the probe correction and FFT, to generate the far-field parameters. The computed far-field patterns and parameters have been compared, with the OSI algorithm implemented in MiDAS. | ||
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10.1007/s13198-022-01787-y doi (DE-627)SPR052058271 (SPR)s13198-022-01787-y-e DE-627 ger DE-627 rakwb eng Kumar, Rakesh verfasserin (orcid)0000-0002-7795-1109 aut Comparison of interpolation algorithms to transform polar grid to rectangular grid in plane polar near field antenna test range 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) under exclusive licence to The Society for Reliability Engineering, Quality and Operations Management (SREQOM), India and The Division of Operation and Maintenance, Lulea University of Technology, Sweden 2022. Springer Nature or its licensor holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract This paper addresses the implementation of various interpolation algorithms to transform the measured near field (NF) polar grid data into rectangular grid data in plane-polar near field antenna test range (PPNF-ATR). Such a transformation is required so that the Fast Fourier Transform (FFT) algorithm can be utilized to extract the hologram and to compute the far-field performance. Conventionally, the Optimal Sampling Interpolation (OSI) algorithm is used for such a transformation. In this paper, four interpolation algorithms i.e., Barycentric, Nearest Neighbor, Bivariate Lagrange and Cubic Spline interpolations, are studied, implemented and applied on the measured NF data in polar grid. The X-band microstrip array antenna having 0.6 m × 0.6 m dimensions has been measured in the PPNF test range, installed at SAC, ISRO, Ahmedabad. The various interpolation algorithms have been applied to the measured NF data with different sampling points, followed by the probe correction and FFT, to generate the far-field parameters. The computed far-field patterns and parameters have been compared, with the OSI algorithm implemented in MiDAS. Near field (dpeaa)DE-He213 Fast fourier transform (FFT) (dpeaa)DE-He213 Interpolation (dpeaa)DE-He213 Plane polar near field (PPNF) (dpeaa)DE-He213 Antenna test range (ATR) (dpeaa)DE-He213 Mevada, Pratik aut Kulshrestha, Sanjeev aut Chakrabarty, Soumyabrata aut Mahajan, Milind B. aut Enthalten in International Journal of Systems Assurance Engineering and Management Springer-Verlag, 2010 14(2022), Suppl 2 vom: 01. Nov., Seite 683-689 (DE-627)SPR031222420 nnns volume:14 year:2022 number:Suppl 2 day:01 month:11 pages:683-689 https://dx.doi.org/10.1007/s13198-022-01787-y lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER AR 14 2022 Suppl 2 01 11 683-689 |
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10.1007/s13198-022-01787-y doi (DE-627)SPR052058271 (SPR)s13198-022-01787-y-e DE-627 ger DE-627 rakwb eng Kumar, Rakesh verfasserin (orcid)0000-0002-7795-1109 aut Comparison of interpolation algorithms to transform polar grid to rectangular grid in plane polar near field antenna test range 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) under exclusive licence to The Society for Reliability Engineering, Quality and Operations Management (SREQOM), India and The Division of Operation and Maintenance, Lulea University of Technology, Sweden 2022. Springer Nature or its licensor holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract This paper addresses the implementation of various interpolation algorithms to transform the measured near field (NF) polar grid data into rectangular grid data in plane-polar near field antenna test range (PPNF-ATR). Such a transformation is required so that the Fast Fourier Transform (FFT) algorithm can be utilized to extract the hologram and to compute the far-field performance. Conventionally, the Optimal Sampling Interpolation (OSI) algorithm is used for such a transformation. In this paper, four interpolation algorithms i.e., Barycentric, Nearest Neighbor, Bivariate Lagrange and Cubic Spline interpolations, are studied, implemented and applied on the measured NF data in polar grid. The X-band microstrip array antenna having 0.6 m × 0.6 m dimensions has been measured in the PPNF test range, installed at SAC, ISRO, Ahmedabad. The various interpolation algorithms have been applied to the measured NF data with different sampling points, followed by the probe correction and FFT, to generate the far-field parameters. The computed far-field patterns and parameters have been compared, with the OSI algorithm implemented in MiDAS. Near field (dpeaa)DE-He213 Fast fourier transform (FFT) (dpeaa)DE-He213 Interpolation (dpeaa)DE-He213 Plane polar near field (PPNF) (dpeaa)DE-He213 Antenna test range (ATR) (dpeaa)DE-He213 Mevada, Pratik aut Kulshrestha, Sanjeev aut Chakrabarty, Soumyabrata aut Mahajan, Milind B. aut Enthalten in International Journal of Systems Assurance Engineering and Management Springer-Verlag, 2010 14(2022), Suppl 2 vom: 01. Nov., Seite 683-689 (DE-627)SPR031222420 nnns volume:14 year:2022 number:Suppl 2 day:01 month:11 pages:683-689 https://dx.doi.org/10.1007/s13198-022-01787-y lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER AR 14 2022 Suppl 2 01 11 683-689 |
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10.1007/s13198-022-01787-y doi (DE-627)SPR052058271 (SPR)s13198-022-01787-y-e DE-627 ger DE-627 rakwb eng Kumar, Rakesh verfasserin (orcid)0000-0002-7795-1109 aut Comparison of interpolation algorithms to transform polar grid to rectangular grid in plane polar near field antenna test range 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) under exclusive licence to The Society for Reliability Engineering, Quality and Operations Management (SREQOM), India and The Division of Operation and Maintenance, Lulea University of Technology, Sweden 2022. Springer Nature or its licensor holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract This paper addresses the implementation of various interpolation algorithms to transform the measured near field (NF) polar grid data into rectangular grid data in plane-polar near field antenna test range (PPNF-ATR). Such a transformation is required so that the Fast Fourier Transform (FFT) algorithm can be utilized to extract the hologram and to compute the far-field performance. Conventionally, the Optimal Sampling Interpolation (OSI) algorithm is used for such a transformation. In this paper, four interpolation algorithms i.e., Barycentric, Nearest Neighbor, Bivariate Lagrange and Cubic Spline interpolations, are studied, implemented and applied on the measured NF data in polar grid. The X-band microstrip array antenna having 0.6 m × 0.6 m dimensions has been measured in the PPNF test range, installed at SAC, ISRO, Ahmedabad. The various interpolation algorithms have been applied to the measured NF data with different sampling points, followed by the probe correction and FFT, to generate the far-field parameters. The computed far-field patterns and parameters have been compared, with the OSI algorithm implemented in MiDAS. Near field (dpeaa)DE-He213 Fast fourier transform (FFT) (dpeaa)DE-He213 Interpolation (dpeaa)DE-He213 Plane polar near field (PPNF) (dpeaa)DE-He213 Antenna test range (ATR) (dpeaa)DE-He213 Mevada, Pratik aut Kulshrestha, Sanjeev aut Chakrabarty, Soumyabrata aut Mahajan, Milind B. aut Enthalten in International Journal of Systems Assurance Engineering and Management Springer-Verlag, 2010 14(2022), Suppl 2 vom: 01. Nov., Seite 683-689 (DE-627)SPR031222420 nnns volume:14 year:2022 number:Suppl 2 day:01 month:11 pages:683-689 https://dx.doi.org/10.1007/s13198-022-01787-y lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER AR 14 2022 Suppl 2 01 11 683-689 |
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10.1007/s13198-022-01787-y doi (DE-627)SPR052058271 (SPR)s13198-022-01787-y-e DE-627 ger DE-627 rakwb eng Kumar, Rakesh verfasserin (orcid)0000-0002-7795-1109 aut Comparison of interpolation algorithms to transform polar grid to rectangular grid in plane polar near field antenna test range 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) under exclusive licence to The Society for Reliability Engineering, Quality and Operations Management (SREQOM), India and The Division of Operation and Maintenance, Lulea University of Technology, Sweden 2022. Springer Nature or its licensor holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract This paper addresses the implementation of various interpolation algorithms to transform the measured near field (NF) polar grid data into rectangular grid data in plane-polar near field antenna test range (PPNF-ATR). Such a transformation is required so that the Fast Fourier Transform (FFT) algorithm can be utilized to extract the hologram and to compute the far-field performance. Conventionally, the Optimal Sampling Interpolation (OSI) algorithm is used for such a transformation. In this paper, four interpolation algorithms i.e., Barycentric, Nearest Neighbor, Bivariate Lagrange and Cubic Spline interpolations, are studied, implemented and applied on the measured NF data in polar grid. The X-band microstrip array antenna having 0.6 m × 0.6 m dimensions has been measured in the PPNF test range, installed at SAC, ISRO, Ahmedabad. The various interpolation algorithms have been applied to the measured NF data with different sampling points, followed by the probe correction and FFT, to generate the far-field parameters. The computed far-field patterns and parameters have been compared, with the OSI algorithm implemented in MiDAS. Near field (dpeaa)DE-He213 Fast fourier transform (FFT) (dpeaa)DE-He213 Interpolation (dpeaa)DE-He213 Plane polar near field (PPNF) (dpeaa)DE-He213 Antenna test range (ATR) (dpeaa)DE-He213 Mevada, Pratik aut Kulshrestha, Sanjeev aut Chakrabarty, Soumyabrata aut Mahajan, Milind B. aut Enthalten in International Journal of Systems Assurance Engineering and Management Springer-Verlag, 2010 14(2022), Suppl 2 vom: 01. Nov., Seite 683-689 (DE-627)SPR031222420 nnns volume:14 year:2022 number:Suppl 2 day:01 month:11 pages:683-689 https://dx.doi.org/10.1007/s13198-022-01787-y lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER AR 14 2022 Suppl 2 01 11 683-689 |
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10.1007/s13198-022-01787-y doi (DE-627)SPR052058271 (SPR)s13198-022-01787-y-e DE-627 ger DE-627 rakwb eng Kumar, Rakesh verfasserin (orcid)0000-0002-7795-1109 aut Comparison of interpolation algorithms to transform polar grid to rectangular grid in plane polar near field antenna test range 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) under exclusive licence to The Society for Reliability Engineering, Quality and Operations Management (SREQOM), India and The Division of Operation and Maintenance, Lulea University of Technology, Sweden 2022. Springer Nature or its licensor holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract This paper addresses the implementation of various interpolation algorithms to transform the measured near field (NF) polar grid data into rectangular grid data in plane-polar near field antenna test range (PPNF-ATR). Such a transformation is required so that the Fast Fourier Transform (FFT) algorithm can be utilized to extract the hologram and to compute the far-field performance. Conventionally, the Optimal Sampling Interpolation (OSI) algorithm is used for such a transformation. In this paper, four interpolation algorithms i.e., Barycentric, Nearest Neighbor, Bivariate Lagrange and Cubic Spline interpolations, are studied, implemented and applied on the measured NF data in polar grid. The X-band microstrip array antenna having 0.6 m × 0.6 m dimensions has been measured in the PPNF test range, installed at SAC, ISRO, Ahmedabad. The various interpolation algorithms have been applied to the measured NF data with different sampling points, followed by the probe correction and FFT, to generate the far-field parameters. The computed far-field patterns and parameters have been compared, with the OSI algorithm implemented in MiDAS. Near field (dpeaa)DE-He213 Fast fourier transform (FFT) (dpeaa)DE-He213 Interpolation (dpeaa)DE-He213 Plane polar near field (PPNF) (dpeaa)DE-He213 Antenna test range (ATR) (dpeaa)DE-He213 Mevada, Pratik aut Kulshrestha, Sanjeev aut Chakrabarty, Soumyabrata aut Mahajan, Milind B. aut Enthalten in International Journal of Systems Assurance Engineering and Management Springer-Verlag, 2010 14(2022), Suppl 2 vom: 01. Nov., Seite 683-689 (DE-627)SPR031222420 nnns volume:14 year:2022 number:Suppl 2 day:01 month:11 pages:683-689 https://dx.doi.org/10.1007/s13198-022-01787-y lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER AR 14 2022 Suppl 2 01 11 683-689 |
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Comparison of interpolation algorithms to transform polar grid to rectangular grid in plane polar near field antenna test range Near field (dpeaa)DE-He213 Fast fourier transform (FFT) (dpeaa)DE-He213 Interpolation (dpeaa)DE-He213 Plane polar near field (PPNF) (dpeaa)DE-He213 Antenna test range (ATR) (dpeaa)DE-He213 |
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misc Near field misc Fast fourier transform (FFT) misc Interpolation misc Plane polar near field (PPNF) misc Antenna test range (ATR) |
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misc Near field misc Fast fourier transform (FFT) misc Interpolation misc Plane polar near field (PPNF) misc Antenna test range (ATR) |
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misc Near field misc Fast fourier transform (FFT) misc Interpolation misc Plane polar near field (PPNF) misc Antenna test range (ATR) |
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International Journal of Systems Assurance Engineering and Management |
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Comparison of interpolation algorithms to transform polar grid to rectangular grid in plane polar near field antenna test range |
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Comparison of interpolation algorithms to transform polar grid to rectangular grid in plane polar near field antenna test range |
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Kumar, Rakesh |
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International Journal of Systems Assurance Engineering and Management |
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International Journal of Systems Assurance Engineering and Management |
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2022 |
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Kumar, Rakesh Mevada, Pratik Kulshrestha, Sanjeev Chakrabarty, Soumyabrata Mahajan, Milind B. |
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Elektronische Aufsätze |
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Kumar, Rakesh |
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comparison of interpolation algorithms to transform polar grid to rectangular grid in plane polar near field antenna test range |
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Comparison of interpolation algorithms to transform polar grid to rectangular grid in plane polar near field antenna test range |
| abstract |
Abstract This paper addresses the implementation of various interpolation algorithms to transform the measured near field (NF) polar grid data into rectangular grid data in plane-polar near field antenna test range (PPNF-ATR). Such a transformation is required so that the Fast Fourier Transform (FFT) algorithm can be utilized to extract the hologram and to compute the far-field performance. Conventionally, the Optimal Sampling Interpolation (OSI) algorithm is used for such a transformation. In this paper, four interpolation algorithms i.e., Barycentric, Nearest Neighbor, Bivariate Lagrange and Cubic Spline interpolations, are studied, implemented and applied on the measured NF data in polar grid. The X-band microstrip array antenna having 0.6 m × 0.6 m dimensions has been measured in the PPNF test range, installed at SAC, ISRO, Ahmedabad. The various interpolation algorithms have been applied to the measured NF data with different sampling points, followed by the probe correction and FFT, to generate the far-field parameters. The computed far-field patterns and parameters have been compared, with the OSI algorithm implemented in MiDAS. © The Author(s) under exclusive licence to The Society for Reliability Engineering, Quality and Operations Management (SREQOM), India and The Division of Operation and Maintenance, Lulea University of Technology, Sweden 2022. Springer Nature or its licensor holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. |
| abstractGer |
Abstract This paper addresses the implementation of various interpolation algorithms to transform the measured near field (NF) polar grid data into rectangular grid data in plane-polar near field antenna test range (PPNF-ATR). Such a transformation is required so that the Fast Fourier Transform (FFT) algorithm can be utilized to extract the hologram and to compute the far-field performance. Conventionally, the Optimal Sampling Interpolation (OSI) algorithm is used for such a transformation. In this paper, four interpolation algorithms i.e., Barycentric, Nearest Neighbor, Bivariate Lagrange and Cubic Spline interpolations, are studied, implemented and applied on the measured NF data in polar grid. The X-band microstrip array antenna having 0.6 m × 0.6 m dimensions has been measured in the PPNF test range, installed at SAC, ISRO, Ahmedabad. The various interpolation algorithms have been applied to the measured NF data with different sampling points, followed by the probe correction and FFT, to generate the far-field parameters. The computed far-field patterns and parameters have been compared, with the OSI algorithm implemented in MiDAS. © The Author(s) under exclusive licence to The Society for Reliability Engineering, Quality and Operations Management (SREQOM), India and The Division of Operation and Maintenance, Lulea University of Technology, Sweden 2022. Springer Nature or its licensor holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. |
| abstract_unstemmed |
Abstract This paper addresses the implementation of various interpolation algorithms to transform the measured near field (NF) polar grid data into rectangular grid data in plane-polar near field antenna test range (PPNF-ATR). Such a transformation is required so that the Fast Fourier Transform (FFT) algorithm can be utilized to extract the hologram and to compute the far-field performance. Conventionally, the Optimal Sampling Interpolation (OSI) algorithm is used for such a transformation. In this paper, four interpolation algorithms i.e., Barycentric, Nearest Neighbor, Bivariate Lagrange and Cubic Spline interpolations, are studied, implemented and applied on the measured NF data in polar grid. The X-band microstrip array antenna having 0.6 m × 0.6 m dimensions has been measured in the PPNF test range, installed at SAC, ISRO, Ahmedabad. The various interpolation algorithms have been applied to the measured NF data with different sampling points, followed by the probe correction and FFT, to generate the far-field parameters. The computed far-field patterns and parameters have been compared, with the OSI algorithm implemented in MiDAS. © The Author(s) under exclusive licence to The Society for Reliability Engineering, Quality and Operations Management (SREQOM), India and The Division of Operation and Maintenance, Lulea University of Technology, Sweden 2022. Springer Nature or its licensor holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. |
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Comparison of interpolation algorithms to transform polar grid to rectangular grid in plane polar near field antenna test range |
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Mevada, Pratik Kulshrestha, Sanjeev Chakrabarty, Soumyabrata Mahajan, Milind B. |
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