利用复杂ICA提取超宽带雷达特征的目标识别

2012 IEEE International Conference on Ultra-Wideband Pub Date : 2012-11-12 DOI:10.1109/ICUWB.2012.6340413

I. Jouny

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引用次数: 1

摘要

本文采用适应于非圆复杂源的快速独立分量分析(FastICA)算法提取雷达散射特征。然后，这些特征的一部分被用作机载目标识别系统的特征。利用合成目标模型说明了该概念，然后将其应用于具有10 GHz带宽的UWB签名的真实目标模型。

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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Target recognition using UWB radar signatures extracted via complex ICA

This paper uses the Fast Independent Component Analysis (FastICA) algorithm, as adapted to noncircular complex sources, to extract radar scattering signatures. Part of these signatures is then used as features in an airborne target recognition system. The concept is illustrated using synthetic target models and then applied to real target models with UWB signatures spanning a 10 GHz bandwidth.

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来源期刊

2012 IEEE International Conference on Ultra-Wideband

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