A fast DOA tracking algorithm based on the extended Kalman filter

被引：0
|
作者：
Kong, DK [1 ]
Chun, JW [1 ]
机构：
[1] Korea Adv Inst Sci & Technol, Dept EECS, Comp Sci Lab, Yusong Gu, Taejon 305701, South Korea
来源：
PROCEEDINGS OF THE IEEE 2000 NATIONAL AEROSPACE AND ELECTRONICS CONFERENCE: ENGINEERING TOMORROW | 2000年
关键词：
DOA tracking; extended Kalman filter; antenna array;
D O I：
暂无
中图分类号：
V [航空、航天];
学科分类号：
08 ; 0825 ;
摘要：
Many direction of arrival (DOA) tracking algorithms suffer heavy computational complexity due to their dependence on the sample covariance matrix. We propose a new DOA tracking algorithm that uses the extended Kalman filter (EKF). Because the proposed algorithm is based on a single snapshot, it requires low computational complexity. Our simulation illustrates that the proposed algorithm performs better than other methods.
引用
收藏
页码：235 / 238
页数：4
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