@inproceedings{734c92abd0ca4c5a8091f3c1673b05d0,
title = "A novel pulsar navigation method based on an asynchronous observation model",
abstract = "Pulsar navigation has been a potential navigation method for high-orbit satellites or deep space exploration. One of the main problems is that the update rate of measurements are too slow that results in the low navigation accuracy. To solve this problem, an asynchronous model together with a corresponding Kalman filter is proposed. The simulations show that the proposed model has better performance than that of the synchronous model which is widely used in lots of previous literatures.",
keywords = "Asynchronous observation model, Kalman filtering, Pulsar navigation",
author = "Pengbin Guo and Jian Sun and Shuling Hu and Ju Xue",
note = "Publisher Copyright: {\textcopyright} Springer Nature Singapore Pte Ltd. 2017.; 3rd International Conference on Cognitive Systems and Information Processing, ICCSIP 2016 ; Conference date: 19-11-2016 Through 23-11-2016",
year = "2017",
doi = "10.1007/978-981-10-5230-9\_1",
language = "英语",
isbn = "9789811052293",
series = "Communications in Computer and Information Science",
publisher = "Springer Verlag",
pages = "3--12",
editor = "Fuchun Sun and Huaping Liu and Dewen Hu",
booktitle = "Cognitive Systems and Signal Processing - 3rd International Conference, ICCSIP 2016, Revised Selected Papers",
}