基于峰度的噪声环境下目标检测方法

2016 17th International Radar Symposium (IRS) Pub Date : 2016-05-10 DOI:10.1109/IRS.2016.7497291

Alexander Schmidt, Christoph Rugheimer, F. Particke, T. Mahr, Holger Appel, Hans-Georg Kolle

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引用次数: 2

摘要

本文提出了一种基于从谱域提取的峰度和最大振幅信息的检测方法。最后，我们面临一个分类问题，该问题通过引入线性决策边界来解决。结果表明，该方法总体上具有较好的稳定检测效果。

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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Kurtosis based approach for detection of targets in noise

This report proposes a detection method based on using kurtosis and maximum amplitude information, both extracted from the spectral domain. At the end we face a classification problem which is solved by introducing a linear decision boundary. This new method is proved to result into overall good and stable detection results.

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2016 17th International Radar Symposium (IRS)

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