Fusion of Radar and IRST Sensor Measurements for 3D Target Tracking using Extended Kalman Filter

被引：9

作者：

Naidu, V. P. S. ^{[1
]}

机构：

[1] Natl Aerosp Labs, Bangalore 17, Karnataka, India

来源：

DEFENCE SCIENCE JOURNAL | 2009年 / 59卷 / 02期

关键词：

IRST sensor measurements; 3-D target tracking; Kalman filter; tracking algorithm; performance evaluation; fusion schemes; target tracking;

D O I：

10.14429/dsj.59.1506

中图分类号：

O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

Tracking algorithms for IRST and radar are implemented and their performance is checked with simulated data. Detailed mathematical expressions given Could be useful for implementation. Performance evaluation metrics have been presented to check the tracking algorithm performance. Two fusion schemes have been presented and their performances evaluated with simulated data. It is concluded that both fusion schemes performed alike with the second fusion scheme giving slightly better results. From the results, it is also concluded that fusion of IRST and radar would improve the tracking performance and reduce the positional uncertainty compared to individual trackers.

引用

页码：175 / 182

页数：8

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