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An Efficient Spherical Far-Field Extrapolation and Calibration Method for Near-Field Vehicle Antenna Testing
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DOI：10.1109/tim.2026.3718572.png)
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Abstract
En 中文
Complete vehicle antenna measurements usually suffer from antenna displacement with respect to the measurement center and overly dense sampling. To tackle this challenging problem, this work presents a method combining matrix inversion and high-order expansion theory to effectively overcome the issues of far-field extrapolation for displaced and undersampled near-field tests. The proposed method first uses the Hankel functions with high-order expansion to characterize the inverse relationship between the near-field components and far-field patterns. Then, the high-order derivative functions and inverse matrix are combined to calculate the 3-D far-field pattern with undersampled near-field data. Since the high-order expansion with the steepest descent method appropriately characterizes the backward relationship from far-field to near field, the proposed method mitigates the adverse effects of undersampling on forward spherical near-to-far-field transformation (SNFT). Finally, a pattern calibration method is used to compensate for the offset of the SNFT pattern. Compared with the conventional SNFT algorithm, the proposed method can significantly reduce the computational time and improve the accuracy of the electrically large antenna testing.
Keywords:
Calibration method
high-order expansion
Nyquist sampling
pattern offset
spherical near-to-far-field transformation (SNFT)
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5.9
Papers:
1.9W
Citations:
5.8W
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