@inproceedings{5e504d35f5674ba484db1db9ab10af50,
title = "Data fusion with two nonlinear constraints on Kalman filtering",
abstract = "In this paper we investigate an integrated pedestrian navigation scenario to fuse data from three systems whose relative locations are known previously. In this excogitation a pedestrian is equipped with a GNSS (Global Navigation Satellite System) receiver on the shoulder and two MEMS (Micro Electro Mechanical Systems)-based IMU on the tiptoe and heel of a shoe. Due to the physical space description of the three systems two constraints can be obtained. One is based on the fixed distance between two inertial systems and the other is with reference to the approximately range between GNSS and one of the two IMUs. The suggested information fusion method is expected to make use of Kalman Filtering with state constraint.",
keywords = "Kalman filtering, integrated scenario, pedestrian navigation, two constraints",
author = "Wei Gao and Jiaxuan Li and Fei Yu and Guangtao Zhou and Chunyang Yu and Mengmeng Lin",
year = "2014",
doi = "10.1109/PLANS.2014.6851413",
language = "英语",
isbn = "9781479933204",
series = "Record - IEEE PLANS, Position Location and Navigation Symposium",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "524--528",
booktitle = "Proceedings of the 2014 IEEE/ION Position, Location and Navigation Symposium, PLANS 2014",
address = "美国",
note = "2014 IEEE/ION Position, Location and Navigation Symposium, PLANS 2014 ; Conference date: 05-05-2014 Through 08-05-2014",
}