Sensor Localization-based Distributed Target Tracking Filter in Underwater Sensor Network

被引：0
|
作者：
Yu, Chang Ho [1 ]
Min, Su Hong [2 ]
Choi, Jae Weon [2 ]
机构：
[1] Pusan Natl Univ, Grad Sch Technol Entrepreneurship, Busan, South Korea
[2] Pusan Natl Univ, Sch Mech Engn, Busan, South Korea
来源：
2015 54TH ANNUAL CONFERENCE OF THE SOCIETY OF INSTRUMENT AND CONTROL ENGINEERS OF JAPAN (SICE) | 2015年
关键词：
Sensor localization; underwater sensor networks; distributed Kalman filter; wake-up/sleep scheme;
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：
This paper deals with the problem of localizing sensors based on time of arrival (ToA) method and tracking a target moving through the environment of underwater sensor networks (USNs). ToA method for localizing sensors is the most simple and intuitive algorithm applicable for USNs. In this paper, ToA-based sensor localization system in USNs is proposed, which consists of ToA-based distance estimation, position computation using trilateration, and localization algorithm using recursive position estimation (RPE). By using the localized underwater sensor information, distributed Kalman filter (DKF) can estimate the state of target on valid sensor platforms. Simulation results illustrate the performance of the proposed distributed tracking filters.
引用
收藏
页码：706 / 711
页数：6
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