Automatic Target Recognition of Ultra-Wideband Through-Wall Radar

被引：0

作者：

Yuan, Zhenlong ^{[1
]}

Tu, Xin ^{[1
]}

Zhu, Guofu ^{[1
]}

Hu, Jun ^{[1
]}

Huang, Xiaotao ^{[1
]}

机构：

[1] Natl Univ Def Technol, Sch Elect Sci & Engn, Changsha 410073, Hunan, Peoples R China

来源：

2013 14TH INTERNATIONAL RADAR SYMPOSIUM (IRS), VOLS 1 AND 2 | 2013年

关键词：

D O I：

暂无

中图分类号：

TN [电子技术、通信技术];

学科分类号：

0809 ;

摘要：

There are still many false alarms in two-value image after CFAR detection in ultra-wideband through-wall radar. These false alarms can be divided into three categories, namely the isolated noise, target side lobe and random strong clutter false alarms. In order to suppress them, a new target recognition algorithm was presented in this paper; it was made up of binary integration, the hierarchical clustering processing and target tracking. The processing results of measured data show that the algorithm can effectively suppress above false alarms, and achieve accurate information of target number and location.

引用

页码：1013 / 1018

页数：6

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