Bootstrap filtering for the position location using wireless communication on highways

被引：0
|
作者：
Cho, S [1 ]
Chun, J [1 ]
机构：
[1] Korea Adv Inst Sci & Technol, Dept EECS, Yusong Gu, Taejon 305701, South Korea
来源：
PROCEEDINGS OF THE 39TH IEEE CONFERENCE ON DECISION AND CONTROL, VOLS 1-5 | 2000年
关键词：
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
We propose a new position location algorithm based on the bootstrap filtering using the time difference of arrival (TDOA) measurements. The proposed algorithm imposes nonlinear kinematic constraints on the state estimates without destabilizing the algorithm. Such constraints can be most naturally incorporated in the Bayesian bootstrap filtering framework. The proposed algorithm is verified through simulation, and the result demonstrates that our algorithm is more robust than the extended Kalman filter and the bootstrap filter without constraints.
引用
收藏
页码：1017 / 1018
页数：2
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