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Accurate and efficient planar near-field measurements: a new perspective from electromagnetic information theory

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Conclusion

This letter introduces an interpolation and bandlimited signal extrapolation method to reconstruct the non-uniformly distributed samples with sampling intervals larger than λ0/2. The proposed method saves the time cost compared with the conventional measurement (sampling interval smaller than λ0/2). Besides, the truncation errors are decreased, and the testing accuracy is improved. Therefore, the proposed method is accurate and efficient for planar near-field measurements of mm-wave antennas.

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References

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Acknowledgements

This work was supported in part by National Key Research and Development Program of China (Grant No. 2022YFB3902400) and National Natural Science Foundation of China (Grant No. 62171362).

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Authors and Affiliations

  1. School of Information and Communications Engineering, Xi’an Jiaotong University, Xi’an, 710049, China

    Junhao Zheng, Xiaoming Chen, Jianxing Li & Juan Chen

  2. School of Electronic Information Engineering, Beihang University, Beijing, 100191, China

    Zhengpeng Wang

  3. College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, 310027, China

    Wei E. I. Sha

  4. School of Physics, Xidian University, Xi’an, 710071, China

    Lixin Guo

Authors
  1. Junhao Zheng
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  2. Xiaoming Chen
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  3. Zhengpeng Wang
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  4. Jianxing Li
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  5. Juan Chen
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  6. Wei E. I. Sha
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  7. Lixin Guo
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Corresponding author

Correspondence to Xiaoming Chen.

Additional information

Supporting information Appendixes A–C. The supporting information is available online at https://info.scichina.com and https://link.springer.com. The supporting materials are published as submitted, without typesetting or editing. The responsibility for scientific accuracy and content remains entirely with the authors.

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Zheng, J., Chen, X., Wang, Z. et al. Accurate and efficient planar near-field measurements: a new perspective from electromagnetic information theory. Sci. China Inf. Sci. 66, 209301 (2023). https://doi.org/10.1007/s11432-022-3831-5

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  • DOI: https://doi.org/10.1007/s11432-022-3831-5

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