A new algorithm of data process in Infrared Search and Track (IRST) system

被引：2

作者：

Hu, LL ^{[1
]}

Chen, YQ ^{[1
]}

机构：

[1] Zhejiang Univ, State Key Lab Modern Opt Instrumentat, Hangzhou 310027, Zhejiang, Peoples R China

来源：

2000 25TH INTERNATIONAL CONFERENCE ON INFRARED AND MILLIMETER WAVES CONFERENCE DIGEST | 2000年

关键词：

D O I：

10.1109/ICIMW.2000.893098

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Infrared Search and Track (IRST) system is one of the most typical airborne sensors for the remote target measurement, detection and tracking in the fighter planes. In recent years the problem of target recognition and tracking has been studied more and more extensively. However, as the important difficulties that target recognition and tracking involves, the problems synthesizing target motion analysis and data process have been ignored to a certain extent. In this paper, the infrared model and kinematic model of targets are described. On basis of the models, a novel and more practical algorithm of data process for bearings-only tracking applications is formed and the major parameters are defined. Finally data simulation is implemented, and the results demonstrate the new algorithm has a better performance in target recognition and tracking. Keywords: Infrared Search and Track (IRST), data process, target motion analysis (TMA), infrared model.

引用

页码：443 / 444

页数：2

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