Atmospheric Measurement Techniques
Atmospheric Measurement Techniques
AMT
Articles | Volume 17, issue 14
Articles | Volume 17, issue 14
https://doi.org/10.5194/amt-17-4197-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-17-4197-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 17, issue 14
Research article
 | 
17 Jul 2024
Research article |  | 17 Jul 2024

Variance estimations in the presence of intermittent interference and their applications to incoherent scatter radar signal processing

Qihou Zhou, Yanlin Li, and Yun Gong

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Short summary
We discuss several robust estimators to compute the variance of a normally distributed random variable to deal with interference. Compared to rank-based estimators, the methods based on the geometric mean are more accurate and are computationally more efficient. We apply three robust estimators to incoherent scatter power and velocity processing, along with the traditional sample mean estimator. The best estimator is a hybrid estimator that combines the sample mean and a robust estimator.
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