A new GPS/RFID integration algorithm based on iterated reduced sigma point Kalman filter for vehicle navigation

Jing Peng; Falin Wu; Ming Zhu; Kefei Zhang; Feixue Wang

A new GPS/RFID integration algorithm based on iterated reduced sigma point Kalman filter for vehicle navigation

Jing Peng^*
, Falin Wu
, Ming Zhu
, Kefei Zhang
, Feixue Wang

^*此作品的通讯作者

仪器科学与光电工程学院

Royal Melbourne Institute of Technology University
National University of Defense Technology

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

6 引用（Scopus）

摘要

To improve the accuracy, reliability and availability of GPS navigation service in urban area, a new GPS/RFID integration method for vehicle navigation is proposed in this paper. In the proposed method, a RFID system is used to aid GPS to achieve a high accuracy positioning via the Received Signal Strength (RSS) measurements and sparse location information of RFID tags. An iterated Reduced Sigma Point Kalman Filter is proposed as a predominant filter for the GPS/RFID integration as well. The results of field experiment show that both accuracy and availability of positioning can be improved by this low-cost GPS/RFID integration method significantly.

源语言	英语
主期刊名	22nd International Technical Meeting of the Satellite Division of the Institute of Navigation 2009, ION GNSS 2009
页	1604-1611
页数	8
出版状态	已出版 - 2009
活动	22nd International Technical Meeting of the Satellite Division of the Institute of Navigation 2009, ION GNSS 2009 - Savannah, GA, 美国期限: 22 9月 2009 → 25 9月 2009

出版系列

姓名	22nd International Technical Meeting of the Satellite Division of the Institute of Navigation 2009, ION GNSS 2009
卷	3

会议

会议	22nd International Technical Meeting of the Satellite Division of the Institute of Navigation 2009, ION GNSS 2009
国家/地区	美国
市	Savannah, GA
时期	22/09/09 → 25/09/09

其它文件与链接

链接到 Scopus 的出版物

引用此

Peng, J., Wu, F., Zhu, M., Zhang, K., & Wang, F. (2009). A new GPS/RFID integration algorithm based on iterated reduced sigma point Kalman filter for vehicle navigation. 在 22nd International Technical Meeting of the Satellite Division of the Institute of Navigation 2009, ION GNSS 2009 (页码 1604-1611). (22nd International Technical Meeting of the Satellite Division of the Institute of Navigation 2009, ION GNSS 2009; 卷 3).

Peng, Jing ; Wu, Falin ; Zhu, Ming 等. / A new GPS/RFID integration algorithm based on iterated reduced sigma point Kalman filter for vehicle navigation. 22nd International Technical Meeting of the Satellite Division of the Institute of Navigation 2009, ION GNSS 2009. 2009. 页码 1604-1611 (22nd International Technical Meeting of the Satellite Division of the Institute of Navigation 2009, ION GNSS 2009).

@inproceedings{035ba4501d54404a818da22c0f8a76fd,

title = "A new GPS/RFID integration algorithm based on iterated reduced sigma point Kalman filter for vehicle navigation",

abstract = "To improve the accuracy, reliability and availability of GPS navigation service in urban area, a new GPS/RFID integration method for vehicle navigation is proposed in this paper. In the proposed method, a RFID system is used to aid GPS to achieve a high accuracy positioning via the Received Signal Strength (RSS) measurements and sparse location information of RFID tags. An iterated Reduced Sigma Point Kalman Filter is proposed as a predominant filter for the GPS/RFID integration as well. The results of field experiment show that both accuracy and availability of positioning can be improved by this low-cost GPS/RFID integration method significantly.",

author = "Jing Peng and Falin Wu and Ming Zhu and Kefei Zhang and Feixue Wang",

year = "2009",

language = "英语",

isbn = "9781615677481",

series = "22nd International Technical Meeting of the Satellite Division of the Institute of Navigation 2009, ION GNSS 2009",

pages = "1604--1611",

booktitle = "22nd International Technical Meeting of the Satellite Division of the Institute of Navigation 2009, ION GNSS 2009",

note = "22nd International Technical Meeting of the Satellite Division of the Institute of Navigation 2009, ION GNSS 2009 ; Conference date: 22-09-2009 Through 25-09-2009",

}

Peng, J, Wu, F, Zhu, M, Zhang, K & Wang, F 2009, A new GPS/RFID integration algorithm based on iterated reduced sigma point Kalman filter for vehicle navigation. 在 22nd International Technical Meeting of the Satellite Division of the Institute of Navigation 2009, ION GNSS 2009. 22nd International Technical Meeting of the Satellite Division of the Institute of Navigation 2009, ION GNSS 2009, 卷 3, 页码 1604-1611, 22nd International Technical Meeting of the Satellite Division of the Institute of Navigation 2009, ION GNSS 2009, Savannah, GA, 美国, 22/09/09.

A new GPS/RFID integration algorithm based on iterated reduced sigma point Kalman filter for vehicle navigation. / Peng, Jing; Wu, Falin; Zhu, Ming 等.
22nd International Technical Meeting of the Satellite Division of the Institute of Navigation 2009, ION GNSS 2009. 2009. 页码 1604-1611 (22nd International Technical Meeting of the Satellite Division of the Institute of Navigation 2009, ION GNSS 2009; 卷 3).

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

TY - GEN

T1 - A new GPS/RFID integration algorithm based on iterated reduced sigma point Kalman filter for vehicle navigation

AU - Peng, Jing

AU - Wu, Falin

AU - Zhu, Ming

AU - Zhang, Kefei

AU - Wang, Feixue

PY - 2009

Y1 - 2009

N2 - To improve the accuracy, reliability and availability of GPS navigation service in urban area, a new GPS/RFID integration method for vehicle navigation is proposed in this paper. In the proposed method, a RFID system is used to aid GPS to achieve a high accuracy positioning via the Received Signal Strength (RSS) measurements and sparse location information of RFID tags. An iterated Reduced Sigma Point Kalman Filter is proposed as a predominant filter for the GPS/RFID integration as well. The results of field experiment show that both accuracy and availability of positioning can be improved by this low-cost GPS/RFID integration method significantly.

AB - To improve the accuracy, reliability and availability of GPS navigation service in urban area, a new GPS/RFID integration method for vehicle navigation is proposed in this paper. In the proposed method, a RFID system is used to aid GPS to achieve a high accuracy positioning via the Received Signal Strength (RSS) measurements and sparse location information of RFID tags. An iterated Reduced Sigma Point Kalman Filter is proposed as a predominant filter for the GPS/RFID integration as well. The results of field experiment show that both accuracy and availability of positioning can be improved by this low-cost GPS/RFID integration method significantly.

UR - https://www.scopus.com/pages/publications/77952204344

M3 - 会议稿件

AN - SCOPUS:77952204344

SN - 9781615677481

T3 - 22nd International Technical Meeting of the Satellite Division of the Institute of Navigation 2009, ION GNSS 2009

SP - 1604

EP - 1611

BT - 22nd International Technical Meeting of the Satellite Division of the Institute of Navigation 2009, ION GNSS 2009

T2 - 22nd International Technical Meeting of the Satellite Division of the Institute of Navigation 2009, ION GNSS 2009

Y2 - 22 September 2009 through 25 September 2009

ER -

Peng J, Wu F, Zhu M, Zhang K, Wang F. A new GPS/RFID integration algorithm based on iterated reduced sigma point Kalman filter for vehicle navigation. 在 22nd International Technical Meeting of the Satellite Division of the Institute of Navigation 2009, ION GNSS 2009. 2009. 页码 1604-1611. (22nd International Technical Meeting of the Satellite Division of the Institute of Navigation 2009, ION GNSS 2009).

A new GPS/RFID integration algorithm based on iterated reduced sigma point Kalman filter for vehicle navigation

摘要

出版系列

会议

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