@inproceedings{f5539ed4ae6b49019211fcfb7ada1859,
title = "Particle Filter with Correction of Initial State for Direction of Arrival Tracking",
abstract = "Generally, particle filter is used in the single snapshot situation and the initial state is assumed to be known. To make the measurement interval be small enough, we construct a multiple measurement vectors model for DOA tracking since it usually outperforms the single measurement vector model. And we take the initial state into consideration. The initial tracking error of the particle filter becomes very large when the initial state is unknown. Thus, we modify the initial state according to the likelihood of the generated random samples. The method is numerically evaluated using a uniform linear array in simulations. The results show that the proposed algorithm has higher tracking accuracy.",
keywords = "DOA tracking, Multiple measurement vectors, Particle filter",
author = "Huang Wang and Qiyun Xuan and Yulong Gao and Xu Bai",
note = "Publisher Copyright: {\textcopyright} 2020, Springer Nature Singapore Pte Ltd.; International Conference on Communications, Signal Processing, and Systems, CSPS 2018 ; Conference date: 14-07-2018 Through 16-07-2018",
year = "2020",
doi = "10.1007/978-981-13-6504-1\_128",
language = "英语",
isbn = "9789811365034",
series = "Lecture Notes in Electrical Engineering",
publisher = "Springer Verlag",
pages = "1073--1079",
editor = "Qilian Liang and Xin Liu and Zhenyu Na and Wei Wang and Jiasong Mu and Baoju Zhang",
booktitle = "Communications, Signal Processing, and Systems - Proceedings of the 2018 CSPS Volume II",
address = "德国",
}