Phaseless Spherical Near-Field to Far-Field Transformation Algorithm via Sparsity of Spherical Mode Coefficients
In order to overcome the difficulty in obtaining accurate phase information in antenna near-field measurement, this study proposes a phase recovery algorithm that can be applied to phaseless spherical near-field sampling data. Based on the sparsity of spherical mode coefficients (SMCs), under the co...
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2022-01-01
|
| Series: | International Journal of Antennas and Propagation |
| Online Access: | http://dx.doi.org/10.1155/2022/2428939 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832549621920956416 |
|---|---|
| author | Jiaqi Wang Yinghong Wen Dan Zhang Jinbao Zhang |
| author_facet | Jiaqi Wang Yinghong Wen Dan Zhang Jinbao Zhang |
| author_sort | Jiaqi Wang |
| collection | DOAJ |
| description | In order to overcome the difficulty in obtaining accurate phase information in antenna near-field measurement, this study proposes a phase recovery algorithm that can be applied to phaseless spherical near-field sampling data. Based on the sparsity of spherical mode coefficients (SMCs), under the condition of unknown sparsity level and low oversampling rate, the proposed algorithm can accurately recover SMC to obtain high-precision antenna radiation characteristics. To improve the recovery performance of the algorithm, a spherical sampling strategy matching with the algorithm is also presented. By calculating the correlation of the measurement matrix and comparing the accuracy of the reconstructed far field, a set of optimal parameter settings including the number of spheres, the distribution of the measurement points, radius difference, and polarization mode is determined. On the basis of the obtained measurement data, the performance advantage of the presented algorithm in recovering SMC is demonstrated. |
| format | Article |
| id | doaj-art-e87bb097e1084a08bd60905b6065bad6 |
| institution | Kabale University |
| issn | 1687-5877 |
| language | English |
| publishDate | 2022-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Antennas and Propagation |
| spelling | doaj-art-e87bb097e1084a08bd60905b6065bad62025-02-03T06:10:55ZengWileyInternational Journal of Antennas and Propagation1687-58772022-01-01202210.1155/2022/2428939Phaseless Spherical Near-Field to Far-Field Transformation Algorithm via Sparsity of Spherical Mode CoefficientsJiaqi Wang0Yinghong Wen1Dan Zhang2Jinbao Zhang3Electromagnetic Compatibility LaboratoryElectromagnetic Compatibility LaboratoryElectromagnetic Compatibility LaboratoryElectromagnetic Compatibility LaboratoryIn order to overcome the difficulty in obtaining accurate phase information in antenna near-field measurement, this study proposes a phase recovery algorithm that can be applied to phaseless spherical near-field sampling data. Based on the sparsity of spherical mode coefficients (SMCs), under the condition of unknown sparsity level and low oversampling rate, the proposed algorithm can accurately recover SMC to obtain high-precision antenna radiation characteristics. To improve the recovery performance of the algorithm, a spherical sampling strategy matching with the algorithm is also presented. By calculating the correlation of the measurement matrix and comparing the accuracy of the reconstructed far field, a set of optimal parameter settings including the number of spheres, the distribution of the measurement points, radius difference, and polarization mode is determined. On the basis of the obtained measurement data, the performance advantage of the presented algorithm in recovering SMC is demonstrated.http://dx.doi.org/10.1155/2022/2428939 |
| spellingShingle | Jiaqi Wang Yinghong Wen Dan Zhang Jinbao Zhang Phaseless Spherical Near-Field to Far-Field Transformation Algorithm via Sparsity of Spherical Mode Coefficients International Journal of Antennas and Propagation |
| title | Phaseless Spherical Near-Field to Far-Field Transformation Algorithm via Sparsity of Spherical Mode Coefficients |
| title_full | Phaseless Spherical Near-Field to Far-Field Transformation Algorithm via Sparsity of Spherical Mode Coefficients |
| title_fullStr | Phaseless Spherical Near-Field to Far-Field Transformation Algorithm via Sparsity of Spherical Mode Coefficients |
| title_full_unstemmed | Phaseless Spherical Near-Field to Far-Field Transformation Algorithm via Sparsity of Spherical Mode Coefficients |
| title_short | Phaseless Spherical Near-Field to Far-Field Transformation Algorithm via Sparsity of Spherical Mode Coefficients |
| title_sort | phaseless spherical near field to far field transformation algorithm via sparsity of spherical mode coefficients |
| url | http://dx.doi.org/10.1155/2022/2428939 |
| work_keys_str_mv | AT jiaqiwang phaselesssphericalnearfieldtofarfieldtransformationalgorithmviasparsityofsphericalmodecoefficients AT yinghongwen phaselesssphericalnearfieldtofarfieldtransformationalgorithmviasparsityofsphericalmodecoefficients AT danzhang phaselesssphericalnearfieldtofarfieldtransformationalgorithmviasparsityofsphericalmodecoefficients AT jinbaozhang phaselesssphericalnearfieldtofarfieldtransformationalgorithmviasparsityofsphericalmodecoefficients |