Evolutionary programming CLEAN algorithm for UWB localization images of contiguous targets

doi:1005-8885 (2007) 02-0079-05

中国邮电高校学报(英文) ›› 2007, Vol. 14 ›› Issue (2): 79-83.doi: 1005-8885 (2007) 02-0079-05

• Artificial Intelligence • 上一篇下一篇

Evolutionary programming CLEAN algorithm for UWB localization images of contiguous targets

徐勇;吕英华

Beijing University of Posts and Telecommunications

收稿日期:2006-09-18 修回日期:1900-01-01 出版日期:2007-06-30

Evolutionary programming CLEAN algorithm for UWB localization images of contiguous targets

XU Yong;LU Ying-hua

Beijing University of Posts and Telecommunications

Received:2006-09-18 Revised:1900-01-01 Online:2007-06-30

摘要/Abstract

摘要：

In this article, a novel scattering center extraction method using genetic algorithm is proposed to deal with the ultra-wideband (UWB) localization image, which is called evolutionary programming (EP) CLEAN algorithm. Because of the UWB characters, the ideal point scattering model and EP method are used in the algorithm for optimizing the UWB localization images. After introducing the algorithm detail, the actual model is used to realize the EP CLEAN algorithm. Compared with the conventional localization imaging algorithm, this algorithm has advantages fitting the UWB characters such as accuracy, robustness, and better resolution, which are verified by the numerical simulations. Therefore the EP CLEAN algorithm could improve localization image performance to expand the UWB technique application.

关键词:

UWB; localization;evolutionary programming;CLEAN algorithm

Abstract:

Key words:

UWB; localization;evolutionary programming;CLEAN algorithm

中图分类号:

TN929.5

XU Yong;LU Ying-hua. Evolutionary programming CLEAN algorithm for UWB localization images of contiguous targets[J]. Acta Metallurgica Sinica(English letters), 2007, 14(2): 79-83.

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Evolutionary programming CLEAN algorithm for UWB localization images of contiguous targets

Evolutionary programming CLEAN algorithm for UWB localization images of contiguous targets

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