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

页码：235 / 238

页数：4