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Application of Spectral Extrapolation Technique to Stepped-Frequency RCS Measurement

机译：光谱外推技术在阶梯频率RCS测量中的应用

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摘要

"Time domain gating" used in the stepped-frequency radar cross section (RCS) measurement causes the inaccurate frequency domain data, especially at two ends of the band. This paper proposes a spectral extrapolation method for improving the measured RCS at two ends of the band more exactly. The core idea is: the measured frequency domain data are extrapolated to obtain the unknown value out of band with an autoregressive model (AR model). The parameter in the AR model is calculated by the maximum entropy spectral estimation algorithm. Therefore, the span of the original band is extended, and both ends of frequency on the original band are inside the range of the new band. If the time domain gating is adding to the new band, the precision at two ends of the original band can be greatly improved. The simulation and experimental results show that more effective frequency domain data near the two ends of the band can be predicted by using the spectral extrapolation method, and the maximum error at the ends of the original band is less than 1dB after extrapolation, so it can ensure the accuracy of RCS measurement over the whole frequency band.
机译：在阶梯式雷达横截面（RCS）测量中使用的“时域门控”导致不准确的频域数据，尤其是在频带的两端。本文提出了一种用于更确切地改善频带两端的测量RC的光谱外推方法。核心思想是：所测量的频域数据被推断，以获得具有自回归模型（AR模型）的频带中未知的值。 AR模型中的参数由最大熵谱估计算法计算。因此，延长了原始频带的跨度，并且原始频带上的频率的两端都在新频带的范围内。如果时域门控添加到新频段，则可以大大提高原始频带的两端的精度。模拟和实验结果表明，通过使用光谱外推方法可以预测频段两端附近的更有效的频域数据，并且在外推后，原始频带末端的最大误差小于1dB，因此可以确保整个频带上RCS测量的准确性。

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