气象雷达测量平均风速的平均多普勒频率的鲁棒估计

Proceedings of ICASSP '94. IEEE International Conference on Acoustics, Speech and Signal Processing Pub Date : 1994-04-19 DOI:10.1109/ICASSP.1994.389838

Jonggil Lee

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引用次数: 0

摘要

在多普勒天气雷达中，需要高分辨率的风速廓线测量来提供对危险天气状况的可靠探测。为此，脉冲对方法通常被认为是最有效的估计方法。然而，由于非对称谱，该估计器存在一定的偏置误差，在多模态返回谱的情况下可能产生无意义的结果。对误差进行了分析，提出了一种减小误差的改进方法。对于多模态或严重偏斜的频谱，频谱的模态可能比统计平均值提供更可靠的信息。因此，本文还提出了一种相对简单的模态估计器的思想。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Robust estimation of mean Doppler frequency for the measurement of average wind velocity in a weather radar

In a Doppler weather radar, high resolution windspeed profile measurements are needed to provide reliable detection of a hazardous weather condition. For this purpose, the pulse pair method is generally considered to be the most efficient estimator. However, this estimator has some bias errors due to nonsymmetric spectra and may yield meaningless results in the case of a multimodal return spectrum. The bias errors were analyzed and an improved method was suggested to reduce these errors. For the case of a multimodal or seriously skewed spectrum, the modes of the spectrum may provide more reliable information than the statistical mean. Therefore, the idea of a relatively simple mode estimator is also developed.<>

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Proceedings of ICASSP '94. IEEE International Conference on Acoustics, Speech and Signal Processing

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